nlp_graph
Twitter-sentiment-analysis
nlp_graph | Twitter-sentiment-analysis | |
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1 | 1 | |
1 | 2 | |
- | - | |
2.6 | 0.0 | |
over 2 years ago | almost 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
- | GNU General Public License v3.0 only |
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nlp_graph
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graph_summarizer
Little prehistory: some time ago I worked on graph visualizations based on vector embedding of texts . This vizualisations show relational "distance" between words of sentences. So user can visualize graph of distances between word of text, also you can apply some advanced graph-theoretic approaches to further analyze input text and it's hidden features. I want to use this approach to try on text summarization problem - in my case to extract some more informative sentences from text to compress original text.
Twitter-sentiment-analysis
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Sentiment Analysis on football related tweets
You can find more details about the project on my GitHub repo.
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