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# WikiSenti
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[![Binder](https://notebooks.gesis.org/binder/badge_logo.svg)](https://notebooks.gesis.org/binder/v2/gh/gesiscss/WikiSenti/master?urlpath=%2Fapps%2FWikiSentiFlow.ipynb)
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# WikiSenti
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## Description
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This demonstration contains three widgets that analyse sentiments on Wikipedia entities. Wikipedia entities contains entities
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in Wikipedia Article and Wikipedia Talk. Talk page is an area for editors to discuss about corresponding article,
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which can be visited from upper left side of article page. All the widgets include entities of both People and Events.
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The date for people indicates birth date, while the date for events indicates occurrance date.
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Three widgets are:
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1. **WikiSentiFlow**: used to show the changes of sentiment scores for Wikipedia entities (concepts) over time. It shows 25%, 50% (median),
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75% quantile of sentiment score for each month to present the sentiment distribution.
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2. **WikiSentiScatter**: used to show sentiment score including positive score and negative score for Wikipedia entities (concepts) verying with time.
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3. **WikiSentiViewer**: used to show sentiment distribution on geolocation for Wikipedia entities.
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The text of Articles and Talks is extracted from Wikipedia Dump, and time stamps are extracted from [DBPedia](https://wiki.dbpedia.org/).
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The scores are calculated with term frequency for sentiment words based on certain lexicons (OL, MPQA, LIWC, ANEW).
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For ANEW we take valency into account too.
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## Getting Started
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1. Click the Binder badge above or this [Binder link](https://notebooks.gesis.org/binder/v2/gh/gesiscss/WikiSenti/master?urlpath=%2Fapps%2FWikiSentiFlow.ipynb)
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to run the notebooks. (It may takes around 10 mins to prepare the environment)
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2. The widget will start automatically and now you can operate with it. If you want to check the details of code, please click the "Edit App" button in toolbar
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3. If you want to switch to the next notebook, just click the link below the current widget.
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## Run It Locally
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If you want to run it locally, you need to install libraries listed in environment.yml with version showed in requirements.txt.
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Dataset can download dataset in this [dropbox link](https://www.dropbox.com/sh/mt7by5f1wgl6n3z/AACddwkFPq5lPpH3ry83MgSDa?dl=0).
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