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| CNN for sentence classification in Keras |
| Deeply moving: Stanford deep learning framework |
| DeepMoji |
| NRC-team tools |
| Pattern - is a web mining module for the Python programming language. It has tools for data mining (Google, Twitter and Wikipedia API, a web crawler, a HTML DOM parser), natural language processing (part-of-speech taggers, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, clustering, SVM), network analysis and visualization.
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| Sentiment-Analysis |
| sentimental - simple sentiment analysis with Ruby
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| SentiMental - Putting the Mental in Sentimental - (based on AFINN-111 wordlist)
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| sentiment_analysis_python |
| TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more. see details here
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| thisandagain/sentiment - AFINN-based sentiment analysis for Node.js
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| tweet-sentiment-analysis |
| VADER sentiment analysis - VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
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| vivekn/sentiment |
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