Metadata-Version: 2.1
Name: notnews
Version: 0.2.1
Summary: Predict Soft News
Home-page: https://github.com/notnews/notnews
Author: Suriyan Laohaprapanon, Gaurav Sood
Author-email: suriyant@gmail.com, gsood07@gmail.com
License: MIT
Description: notnews: predict soft news using story text and the url structure
        =================================================================
        
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        The package provides classifiers for soft news based on the story text and the url structure for both the US and UK news media. We provide also provide a way to infer the 'kind' of news---Arts, Books, Science, Sports, Travel, etc.---for the US news media.
        
        Quick Start
        -----------
        
        ::
        
            >>> import pandas as pd
            >>> from notnews import *
        
            >>> # Get help
            >>> help(soft_news_url_cat_us)
        
            Help on method soft_news_url_cat in module notnews.soft_news_url_cat:
        
            soft_news_url_cat(df, col='url') method of builtins.type instance
                Soft News Categorize by URL pattern.
        
                Using the URL pattern to categorize the soft/hard news of the input
                DataFrame.
        
                Args:
                    df (:obj:`DataFrame`): Pandas DataFrame containing the URL
                        column.
                    col (str or int): Column's name or location of the URL in
                        DataFrame (default: url).
        
                Returns:
                    DataFrame: Pandas DataFrame with additional columns:
                        - `soft_lab` set to 1 if URL match with soft news URL pattern.
                        - `hard_lab` set to 1 if URL match with hard news URL pattern.
        
            >>> # Load data
            >>> df = pd.read_csv('./notnews/tests/sample_us.csv')
            >>> df
                        src                                                url                                               text
            0             nyt  http://www.nytimes.com/2017/02/11/us/politics/...  Mr. Kushner on something of a crash course in ...
            1  huffingtonpost  http://grvrdr.huffingtonpost.com/302/redirect?...  Authorities are still searching for a man susp...
            2             nyt  http://www.nytimes.com/2016/09/19/us/politics/...  Photo  WASHINGTON — In releasing a far more so...
            3          google  http://www.foxnews.com/world/2016/07/17/turkey...  The Turkish government on Sunday ratcheted up ...
            4             nyt  http://www.nytimes.com/interactive/2016/08/29/...  NYTimes.com no longer supports Internet Explor...
            5           yahoo  https://www.yahoo.com/news/pittsburgh-symphony...  PITTSBURGH AP — Pittsburgh Symphony Orchestra ...
            6         foxnews  http://www.foxnews.com/politics/2016/08/13/cli...  Hillary Clintons campaign is questioning a rep...
            7         foxnews  http://www.foxnews.com/us/2017/04/15/april-gir...  April the giraffe has given birth at a New Yor...
            8         foxnews  http://www.foxnews.com/politics/2017/05/03/hil...  Want FOX News Halftime Report in your inbox ev...
            9             nyt  http://www.nytimes.com/2016/09/06/obituaries/p...  Shes an extremely liberated woman Ms. DeCrow s...
            >>>
            >>> # Get the Soft News URL category
            >>> df_soft_news_url_cat_us  = soft_news_url_cat_us(df, col='url')
            >>> df_soft_news_url_cat_us
                        src                                                url                                               text  soft_lab  hard_lab
            0             nyt  http://www.nytimes.com/2017/02/11/us/politics/...  Mr. Kushner on something of a crash course in ...       NaN       1.0
            1  huffingtonpost  http://grvrdr.huffingtonpost.com/302/redirect?...  Authorities are still searching for a man susp...       NaN       NaN
            2             nyt  http://www.nytimes.com/2016/09/19/us/politics/...  Photo  WASHINGTON — In releasing a far more so...       NaN       1.0
            3          google  http://www.foxnews.com/world/2016/07/17/turkey...  The Turkish government on Sunday ratcheted up ...       NaN       1.0
            4             nyt  http://www.nytimes.com/interactive/2016/08/29/...  NYTimes.com no longer supports Internet Explor...       NaN       1.0
            5           yahoo  https://www.yahoo.com/news/pittsburgh-symphony...  PITTSBURGH AP — Pittsburgh Symphony Orchestra ...       1.0       NaN
            6         foxnews  http://www.foxnews.com/politics/2016/08/13/cli...  Hillary Clintons campaign is questioning a rep...       NaN       1.0
            7         foxnews  http://www.foxnews.com/us/2017/04/15/april-gir...  April the giraffe has given birth at a New Yor...       NaN       NaN
            8         foxnews  http://www.foxnews.com/politics/2017/05/03/hil...  Want FOX News Halftime Report in your inbox ev...       NaN       1.0
            9             nyt  http://www.nytimes.com/2016/09/06/obituaries/p...  Shes an extremely liberated woman Ms. DeCrow s...       NaN       NaN
            >>>
        
        
        Installation
        ------------
        
        Installation is as easy as typing in:
        
        ::
        
            pip install notnews
        
        API
        ---
        
        1. **soft_news_url_cat_us** Uses URL patterns in prominent outlets to classify the type of news. It is based on a slightly amended version of the regular expression used to classify news, and non-news in `Exposure to ideologically diverse news and opinion on Facebook <https://science.sciencemag.org/content/348/6239/1130>`__ by Bakshy, Messing, and Adamic in Science in 2015. Our only amendment: sport rather than sports. The classifier success is liable to vary over time and across outlets.
        
        -  **Arguments:**
        
              -  ``df``:
              -  ``url``: column with the domain names/URLs.
                 Default is ``url``
        
        -  **What it does:**
        
              - converts url to lower case
              - regex
        
              ::
        
                  URL containing any of the following words is classified as soft news:
                  sport|entertainment|arts|fashion|style|lifestyle|leisure|celeb|movie|music|gossip|food|travel|horoscope|weather|gadget
        
                  URL conta ining any of following words is classified as hard news:
                  politi|usnews|world|national|state|elect|vote|govern|campaign|war|polic|econ|unemploy|racis|energy|abortion|educa|healthcare|immigration
        
        -  **Output:**
        
              -  Given both the regex can return true, the potential set is: soft, hard, soft and hard, or empty string.
              -  By default it creates two columns, ```hard_lab``` and ```soft_lab```
        
        -  **Examples:**
        
              ::
        
                >>> import pandas as pd
                >>> from notnews import soft_news_url_cat_us
                >>>
                >>> df = pd.DataFrame([{'url': 'http://nytimes.com/sports/'}])
                >>> df
                                        url
                0  http://nytimes.com/sports/
                >>>
                >>> soft_news_url_cat_us(df)
                                        url  soft_lab hard_lab
                0  http://nytimes.com/sports/         1     None
        
        
        2. **pred_soft_news_us**: We use data from NY Times to train a `model <notnews/models/us_not_news_soft_news.ipynb>`__. The function
           uses the trained model to predict soft news.
        
        -  **Arguments:**
        
              -  ``df``: pandas dataframe. No default.
              -  ``text``: column with the story text.
        
        -  **Functionality:**
        
              -  Normalizes the text and gets the bi-grams and tri-grams
              -  Outputs calibrated probability of soft news using the trained model
        
        -  **Output**
        
              -  Appends a column with probability of soft news (``prob_soft_news_us``)
        
        -  **Examples:**
        
              ::
        
                >>> import pandas as pd
                >>> from notnews import pred_soft_news_us
                >>>
                >>> df = pd.read_csv('notnews/tests/sample_us.csv')
                >>> df
                            src                                                url                                               text
                0             nyt  http://www.nytimes.com/2017/02/11/us/politics/...  Mr. Kushner on something of a crash course in ...
                1  huffingtonpost  http://grvrdr.huffingtonpost.com/302/redirect?...  Authorities are still searching for a man susp...
                2             nyt  http://www.nytimes.com/2016/09/19/us/politics/...  Photo  WASHINGTON — In releasing a far more so...
                3          google  http://www.foxnews.com/world/2016/07/17/turkey...  The Turkish government on Sunday ratcheted up ...
                4             nyt  http://www.nytimes.com/interactive/2016/08/29/...  NYTimes.com no longer supports Internet Explor...
                5           yahoo  https://www.yahoo.com/news/pittsburgh-symphony...  PITTSBURGH AP — Pittsburgh Symphony Orchestra ...
                6         foxnews  http://www.foxnews.com/politics/2016/08/13/cli...  Hillary Clintons campaign is questioning a rep...
                7         foxnews  http://www.foxnews.com/us/2017/04/15/april-gir...  April the giraffe has given birth at a New Yor...
                8         foxnews  http://www.foxnews.com/politics/2017/05/03/hil...  Want FOX News Halftime Report in your inbox ev...
                9             nyt  http://www.nytimes.com/2016/09/06/obituaries/p...  Shes an extremely liberated woman Ms. DeCrow s...
                >>>
                >>> pred_soft_news_us(df)
                Using model data from /opt/notebooks/not_news/notnews_pub/notnews/data/us_model/nyt_us_soft_news_classifier.joblib...
                Using vectorizer data from /opt/notebooks/not_news/notnews_pub/notnews/data/us_model/nyt_us_soft_news_vectorizer.joblib...
                Loading the model and vectorizer data file...
                            src                                                url                                               text  prob_soft_news_us
                0             nyt  http://www.nytimes.com/2017/02/11/us/politics/...  Mr. Kushner on something of a crash course in ...           0.175099
                1  huffingtonpost  http://grvrdr.huffingtonpost.com/302/redirect?...  Authorities are still searching for a man susp...           0.044617
                2             nyt  http://www.nytimes.com/2016/09/19/us/politics/...  Photo  WASHINGTON — In releasing a far more so...           0.010398
                3          google  http://www.foxnews.com/world/2016/07/17/turkey...  The Turkish government on Sunday ratcheted up ...           0.011246
                4             nyt  http://www.nytimes.com/interactive/2016/08/29/...  NYTimes.com no longer supports Internet Explor...           0.021861
                5           yahoo  https://www.yahoo.com/news/pittsburgh-symphony...  PITTSBURGH AP — Pittsburgh Symphony Orchestra ...           0.372437
                6         foxnews  http://www.foxnews.com/politics/2016/08/13/cli...  Hillary Clintons campaign is questioning a rep...           0.077207
                7         foxnews  http://www.foxnews.com/us/2017/04/15/april-gir...  April the giraffe has given birth at a New Yor...           0.481287
                8         foxnews  http://www.foxnews.com/politics/2017/05/03/hil...  Want FOX News Halftime Report in your inbox ev...           0.004383
                9             nyt  http://www.nytimes.com/2016/09/06/obituaries/p...  Shes an extremely liberated woman Ms. DeCrow s...           0.694037
                >>>
        
        
        3. **pred_what_news_us**: We use a `model <notnews/models/us_not_news.ipynb>`__ trained on the
            `annotated NY Times corpus <https://github.com/notnews/nytimes-corpus-extractor>`__ to predict the
             type of news---Arts, Books, Business Finance, Classifieds, Dining, Editorial, Foreign News, Health, Leisure,
             Local, National, Obits, Other, Real Estate, Science, Sports, Style, and Travel.
        
        -  **Arguments:**
        
              -  ``df``: pandas dataframe. No default.
              -  ``text``: column with the story text.
        
        -  **Functionality:**
        
              -  Normalizes the text and gets the bi-grams and tri-grams
              -  Outputs calibrated probability of the type of news using the trained model
        
        -  **Output**
        
              -  Appends a column of predicted catetory (``pred_what_news_us``) and the columns for probability of each category.
                 (``prob_*``)
        
        -  **Examples:**
        
              ::
        
                >>> import pandas as pd
                >>> from notnews import pred_what_news_us
                >>>
                >>> df = pd.read_csv('notnews/tests/sample_us.csv')
                >>> df
                            src                                                url                                               text
                0             nyt  http://www.nytimes.com/2017/02/11/us/politics/...  Mr. Kushner on something of a crash course in ...
                1  huffingtonpost  http://grvrdr.huffingtonpost.com/302/redirect?...  Authorities are still searching for a man susp...
                2             nyt  http://www.nytimes.com/2016/09/19/us/politics/...  Photo  WASHINGTON — In releasing a far more so...
                3          google  http://www.foxnews.com/world/2016/07/17/turkey...  The Turkish government on Sunday ratcheted up ...
                4             nyt  http://www.nytimes.com/interactive/2016/08/29/...  NYTimes.com no longer supports Internet Explor...
                5           yahoo  https://www.yahoo.com/news/pittsburgh-symphony...  PITTSBURGH AP — Pittsburgh Symphony Orchestra ...
                6         foxnews  http://www.foxnews.com/politics/2016/08/13/cli...  Hillary Clintons campaign is questioning a rep...
                7         foxnews  http://www.foxnews.com/us/2017/04/15/april-gir...  April the giraffe has given birth at a New Yor...
                8         foxnews  http://www.foxnews.com/politics/2017/05/03/hil...  Want FOX News Halftime Report in your inbox ev...
                9             nyt  http://www.nytimes.com/2016/09/06/obituaries/p...  Shes an extremely liberated woman Ms. DeCrow s...
                >>>
                >>> pred_what_news_us(df)
        
                Using model data from /opt/notebooks/not_news/notnews_pub/notnews/data/us_model/nyt_us_classifier.joblib...
                Using vectorizer data from /opt/notebooks/not_news/notnews_pub/notnews/data/us_model/nyt_us_vectorizer.joblib...
                Loading the model and vectorizer data file...
                            src                                                url                                               text  ... prob_sports  prob_style  prob_travel
                0             nyt  http://www.nytimes.com/2017/02/11/us/politics/...  Mr. Kushner on something of a crash course in ...  ...    0.000000    0.037708     0.000000
                1  huffingtonpost  http://grvrdr.huffingtonpost.com/302/redirect?...  Authorities are still searching for a man susp...  ...    0.000505    0.000243     0.000416
                2             nyt  http://www.nytimes.com/2016/09/19/us/politics/...  Photo  WASHINGTON — In releasing a far more so...  ...    0.000000    0.051815     0.000000
                3          google  http://www.foxnews.com/world/2016/07/17/turkey...  The Turkish government on Sunday ratcheted up ...  ...    0.001302    0.001378     0.000040
                4             nyt  http://www.nytimes.com/interactive/2016/08/29/...  NYTimes.com no longer supports Internet Explor...  ...    0.003500    0.010600     0.000973
                5           yahoo  https://www.yahoo.com/news/pittsburgh-symphony...  PITTSBURGH AP — Pittsburgh Symphony Orchestra ...  ...    0.161347    0.009316     0.000476
                6         foxnews  http://www.foxnews.com/politics/2016/08/13/cli...  Hillary Clintons campaign is questioning a rep...  ...    0.006366    0.003844     0.005973
                7         foxnews  http://www.foxnews.com/us/2017/04/15/april-gir...  April the giraffe has given birth at a New Yor...  ...    0.000808    0.047357     0.015018
                8         foxnews  http://www.foxnews.com/politics/2017/05/03/hil...  Want FOX News Halftime Report in your inbox ev...  ...    0.000626    0.000459     0.000000
                9             nyt  http://www.nytimes.com/2016/09/06/obituaries/p...  Shes an extremely liberated woman Ms. DeCrow s...  ...    0.000000    0.019162     0.000000
        
                [10 rows x 22 columns]
                >>>
        
        
        4. **soft_news_url_cat_uk** Uses URL patterns in prominent outlets to classify the type of news. It is based on a slightly amended version of the regular expression used to classify news, and non-news in Exposure to ideologically diverse news and opinion on Facebook by Bakshy, Messing, and Adamic. Science. 2015. Amendment: sport rather than sports. The classifier success is liable to vary over time and across outlets.
        
        -  **Arguments:**
        
              -  ``df``: pandas dataframe. No default.
              -  ``url``: column with the domain names/URLs.
                 Default is ``url``
        
        -  **What it does:**
        
              - converts url to lower case
              - regex
        
            ::
        
                URL containing any of the following words is classified as soft news:
                sport|entertainment|arts|fashion|style|lifestyle|leisure|celeb|movie|music|gossip|food|travel|horoscope|weather|gadget
        
                URL containing any of following words is classified as hard news:
                politi|usnews|world|national|state|elect|vote|govern|campaign|war|polic|econ|unemploy|racis|energy|abortion|educa|healthcare|immigration
        
        -  **Output:**
        
            -  Given both the regex can return true, the potential set is: soft, hard, soft and hard, or empty string.
            -  By default it creates two columns, ```hard_lab``` and ```soft_lab```
        
        -  **Examples:**
        
            ::
        
                >>> import pandas as pd
                >>> from notnews import soft_news_url_cat_uk
                >>>
                >>> df = pd.DataFrame([{'url': 'https://www.theguardian.com/us/sport'}])
                >>> df
                                                    url
                0  https://www.theguardian.com/us/sport
                >>>
                >>> soft_news_url_cat_uk(df)
                                                    url  soft_lab hard_lab
                0  https://www.theguardian.com/us/sport         1     None
                >>>
        
        
        5. **pred_soft_news_uk**: We use the `model <notnews/models/uk_not_news.ipynb>`__
               to predict soft news for UK news media.
        
        -  **Arguments:**
        
            -  ``df``: pandas dataframe. No default.
            -  ``text``: column with the story text.
        
        -  **Functionality:**
        
              -  Normalizes the text and gets the bi-grams and tri-grams
              -  Outputs calibrated probability of soft news using the trained model
        
        -  **Output**
        
              -  Appends a column with probability of soft news (``prob_soft_news_uk``)
        
        -  **Examples:**
        
            ::
                >>> import pandas as pd
                >>> from notnews import pred_soft_news_uk
                >>>
                >>> df = pd.read_csv('notnews/tests/sample_uk.csv')
                >>> df
                                    src_name                                                url                                               text
                0           your local guardian  http://www.yourlocalguardian.co.uk/news/local/...  friday octob comment say speed bump dug counci...
                1          liverpool daily post  http://icliverpool.icnetwork.co.uk/0100news/03...  man shot dead takeaway four mask gunmen victim...
                2           the daily telegraph  http://telegraph.feedsportal.com/c/32726/f/534...  euromillion jackpot reach imag euromillion tic...
                3                liverpool echo  http://icliverpool.icnetwork.co.uk/0100news/03...  father one three men kill last summer riot sai...
                4           the daily telegraph  http://telegraph.feedsportal.com/c/32726/f/579...  duchess cambridg rush duchess cambridg yet nam...
                5              buckingham today  http://www.buckinghamtoday.co.uk/latest-scotti...  man accus murder nineyearold girl innoc court ...
                6        northumberland gazette  http://www.northumberlandgazette.co.uk/latest-...  singersongwrit ami winehous appeal fine mariju...
                7                  daily record  http://www.dailyrecord.co.uk/entertainment/ent...  apr beverley lyon laura sutherland former crea...
                8  international business times  http://www.ibtimes.com/articles/331256/2012042...  deep valu found small medtech jason mill sourc...
                9                the daily mail  http://www.dailymail.co.uk/news/article-252383...  ca nt afford third child foot bill key down st...
                >>>
                >>> pred_soft_news_uk(df)
                Using model data from /opt/notebooks/not_news/notnews/notnews/data/uk_model/url_uk_classifier.joblib...
                Using vectorizer data from /opt/notebooks/not_news/notnews/notnews/data/uk_model/url_uk_vectorizer.joblib...
                Loading the model and vectorizer data file...
                                    src_name                                                url                                               text  prob_soft_news_uk
                0           your local guardian  http://www.yourlocalguardian.co.uk/news/local/...  friday octob comment say speed bump dug counci...           0.152979
                1          liverpool daily post  http://icliverpool.icnetwork.co.uk/0100news/03...  man shot dead takeaway four mask gunmen victim...           0.038663
                2           the daily telegraph  http://telegraph.feedsportal.com/c/32726/f/534...  euromillion jackpot reach imag euromillion tic...           0.944237
                3                liverpool echo  http://icliverpool.icnetwork.co.uk/0100news/03...  father one three men kill last summer riot sai...           0.119689
                4           the daily telegraph  http://telegraph.feedsportal.com/c/32726/f/579...  duchess cambridg rush duchess cambridg yet nam...           0.903285
                5              buckingham today  http://www.buckinghamtoday.co.uk/latest-scotti...  man accus murder nineyearold girl innoc court ...           0.049645
                6        northumberland gazette  http://www.northumberlandgazette.co.uk/latest-...  singersongwrit ami winehous appeal fine mariju...           0.070025
                7                  daily record  http://www.dailyrecord.co.uk/entertainment/ent...  apr beverley lyon laura sutherland former crea...           0.926814
                8  international business times  http://www.ibtimes.com/articles/331256/2012042...  deep valu found small medtech jason mill sourc...           0.491505
                9                the daily mail  http://www.dailymail.co.uk/news/article-252383...  ca nt afford third child foot bill key down st...           0.004905
                >>>
        
        
        Command Line
        ------------
        
        We also implement the scripts to process the input file in the CSV format:
        
        1. **soft_news_url_cat_us**
        
            ::
        
                usage: soft_news_url_cat_us [-h] [-o OUTPUT] [-u URL] input
        
                US Soft News Category by URL pattern
        
                positional arguments:
                input                 Input file
        
                optional arguments:
                -h, --help            show this help message and exit
                -o OUTPUT, --output OUTPUT
                                        Output file with category data
                -u URL, --url URL     Name or index location of column contains the domain
                                        or URL (default: url)
        
        2. **pred_soft_news_us**
        
            ::
        
                usage: pred_soft_news_us [-h] [-o OUTPUT] [-t TEXT] input
        
                Predict Soft News by text using NYT Soft News model
        
                positional arguments:
                input                 Input file
        
                optional arguments:
                -h, --help            show this help message and exit
                -o OUTPUT, --output OUTPUT
                                        Output file with prediction data
                -t TEXT, --text TEXT  Name or index location of column contains the text
                                        (default: text)
        
        3. **pred_what_news_us**
        
            ::
        
                usage: pred_what_news_us [-h] [-o OUTPUT] [-t TEXT] input
        
                Predict What News by text using NYT What News model
        
                positional arguments:
                input                 Input file
        
                optional arguments:
                -h, --help            show this help message and exit
                -o OUTPUT, --output OUTPUT
                                        Output file with prediction data
                -t TEXT, --text TEXT  Name or index location of column contains the text
                                        (default: text)
        
        4. **soft_news_url_cat_uk**
        
            ::
        
                usage: soft_news_url_cat_uk [-h] [-o OUTPUT] [-u URL] input
        
                UK Soft News Category by URL pattern
        
                positional arguments:
                input                 Input file
        
                optional arguments:
                -h, --help            show this help message and exit
                -o OUTPUT, --output OUTPUT
                                        Output file with category data
                -u URL, --url URL     Name or index location of column contains the domain
                                        or URL (default: url)
        
        
        5. **pred_soft_news_uk**
        
            ::
        
                usage: pred_soft_news_uk [-h] [-o OUTPUT] [-t TEXT] input
        
                Predict Soft News by text using UK URL Soft News model
        
                positional arguments:
                input                 Input file
        
                optional arguments:
                -h, --help            show this help message and exit
                -o OUTPUT, --output OUTPUT
                                        Output file with prediction data
                -t TEXT, --text TEXT  Name or index location of column contains the text
                                        (default: text)
        
        Underlying Data
        ---------------
        
        * For more information about how to get the underlying data for UK model, see `here <https://github.com/notnews/uk_not_news>`__. For information about the data underlying the US model, see `here <https://github.com/notnews/us_not_news>`__
        
        Applications
        ------------
        
        We use the model to estimate the supply of not news in the `US <https://github.com/notnews/us_not_news>`__ and the `UK <https://github.com/notnews/uk_not_news>`__.
        
        Documentation
        -------------
        
        For more information, please see `project documentation <http://notnews.readthedocs.io/en/latest/>`__.
        
        Authors
        -------
        
        Suriyan Laohaprapanon and Gaurav Sood
        
        Contributor Code of Conduct
        ---------------------------
        
        The project welcomes contributions from everyone! In fact, it depends on
        it. To maintain this welcoming atmosphere, and to collaborate in a fun
        and productive way, we expect contributors to the project to abide by
        the `Contributor Code of
        Conduct <http://contributor-covenant.org/version/1/0/0/>`__
        
        License
        -------
        
        The package is released under the `MIT
        License <https://opensource.org/licenses/MIT>`__.
        
Keywords: soft news
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
Provides-Extra: dev
Provides-Extra: test
