{"data":{"full_name":"praveen2593/Sentiment_analysis_twitter","name":"Sentiment_analysis_twitter","description":"Analyzed effect of Emoji's in improving Sentiment Analysis results. Collected twitter data using Twitter StreamAPI and used TF-IDF to vectorize the tweets. Created a positive and negative vector using the matrix, and used cosine similarity to identify the extent to which a given tweet is positive or negative. Incorporated Emoji's to the tweets by converting unicode, and repeated the process. Improved classification of the process by 15%.","stars":7.0,"forks":1.0,"language":"Jupyter Notebook","license":null,"archived":0.0,"subcategory":"emoji-prediction-generation","last_pushed_at":"2017-09-11T03:18:28+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":4.0,"maturity_score":8.0,"community_score":9.0,"quality_score":21.0,"quality_tier":"experimental","risk_flags":"['no_license', 'stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-13T00:17:40.818030+00:00"}}