{"id":15063944,"url":"https://github.com/sdpdas/sm_sentiment_analysis","last_synced_at":"2026-01-03T03:37:19.922Z","repository":{"id":256064214,"uuid":"850471457","full_name":"SDpDas/SM_Sentiment_Analysis","owner":"SDpDas","description":"Using Natural Language Processing (NLP) and pandas, numpy, scikit-learn for classification and applying logistic regression as it is a supervised model, lastly NLTK. Pickle library used for saving and running the model anywhere.","archived":false,"fork":false,"pushed_at":"2024-09-16T16:23:06.000Z","size":18753,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-22T08:38:16.448Z","etag":null,"topics":["logistic-regression","machine-learning","nlp","scikit-learn","sentiment-analysis","stemming","vectorizer"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SDpDas.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-08-31T21:33:24.000Z","updated_at":"2024-09-16T16:24:01.000Z","dependencies_parsed_at":"2024-09-15T06:37:58.134Z","dependency_job_id":"f3b2a9b6-f072-4ed1-8e66-f265c2f77b89","html_url":"https://github.com/SDpDas/SM_Sentiment_Analysis","commit_stats":null,"previous_names":["sdpdas/sm_sentiment_analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SDpDas%2FSM_Sentiment_Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SDpDas%2FSM_Sentiment_Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SDpDas%2FSM_Sentiment_Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SDpDas%2FSM_Sentiment_Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SDpDas","download_url":"https://codeload.github.com/SDpDas/SM_Sentiment_Analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243779224,"owners_count":20346679,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["logistic-regression","machine-learning","nlp","scikit-learn","sentiment-analysis","stemming","vectorizer"],"created_at":"2024-09-25T00:09:05.616Z","updated_at":"2026-01-03T03:37:19.895Z","avatar_url":"https://github.com/SDpDas.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Description\n\nI have used sentiment analysis on 4 different datasets that focus on its tweets, ratings or reviews.\nThese are :\n1. Twitter Dataset\n2. Chat Dataset\n3. Drugs review dataset\n\nThree types of sentiment are covered - Positive, Negative and Neutral.\n\n## Models Used\n\n1. Logistic Regression\n2. Multiclass LR\n3. One vs Rest LR\n4. Naive Bayes (Gaussian and Multinomial)\n5. SVM with linear or rbf kernels\n\n## Datasets used \n\n1. https://www.kaggle.com/datasets/abhi8923shriv/sentiment-analysis-dataset\n2. https://www.kaggle.com/datasets/kazanova/sentiment140\n3. https://www.kaggle.com/datasets/nursyahrina/chat-sentiment-dataset\n4. https://www.kaggle.com/datasets/mohamedabdelwahabali/drugreview\n\n## Colab Links  \n\n1. Twitter model: https://colab.research.google.com/drive/1-IA0xgwLEJ1JcgpTRtjcTftv83ZggA-t?usp=sharing\n2. Twitter model 2: https://colab.research.google.com/drive/1H--X9_GQy2D-59URXNHzCCQ7OJBsIqpX?usp=sharing\n3. Chat model: https://colab.research.google.com/drive/1ndrjVt2CIc77pVsHQ1wa5hSrYTwkx8mC?usp=sharing\n4. Drug review model: https://colab.research.google.com/drive/1hWVuJFKAOkGlYLWJR4KrdpVoS9Zkbr-i?usp=sharing\n\n# Made by Sagardeep Das\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsdpdas%2Fsm_sentiment_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsdpdas%2Fsm_sentiment_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsdpdas%2Fsm_sentiment_analysis/lists"}