{"id":28907655,"url":"https://github.com/krish57-bit/sentiment-analysis-using-bert","last_synced_at":"2026-05-08T15:40:52.313Z","repository":{"id":299633482,"uuid":"1003662753","full_name":"krish57-bit/Sentiment-Analysis-using-BERT","owner":"krish57-bit","description":"Sentiment analysis using NLP techniques and BERT Model","archived":false,"fork":false,"pushed_at":"2025-06-17T13:44:45.000Z","size":24,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-17T14:37:14.104Z","etag":null,"topics":["matplotlib","natural-language-processing","nlp","nltk","numpy","pandas","seaborn","sentiment-analysis"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/krish57-bit.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"zenodo":null}},"created_at":"2025-06-17T13:33:24.000Z","updated_at":"2025-06-17T14:04:25.000Z","dependencies_parsed_at":"2025-06-17T14:50:07.906Z","dependency_job_id":null,"html_url":"https://github.com/krish57-bit/Sentiment-Analysis-using-BERT","commit_stats":null,"previous_names":["krish57-bit/sentiment-analysis-using-bert"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/krish57-bit/Sentiment-Analysis-using-BERT","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/krish57-bit%2FSentiment-Analysis-using-BERT","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/krish57-bit%2FSentiment-Analysis-using-BERT/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/krish57-bit%2FSentiment-Analysis-using-BERT/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/krish57-bit%2FSentiment-Analysis-using-BERT/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/krish57-bit","download_url":"https://codeload.github.com/krish57-bit/Sentiment-Analysis-using-BERT/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/krish57-bit%2FSentiment-Analysis-using-BERT/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261153583,"owners_count":23116915,"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":["matplotlib","natural-language-processing","nlp","nltk","numpy","pandas","seaborn","sentiment-analysis"],"created_at":"2025-06-21T16:04:52.569Z","updated_at":"2026-05-08T15:40:52.309Z","avatar_url":"https://github.com/krish57-bit.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🧠 Sentiment Analysis using BERT\n\nThis project performs sentiment analysis on customer reviews using the pre-trained BERT model from Hugging Face (`nlptown/bert-base-multilingual-uncased-sentiment`).\n\n---\n\n## 📌 Overview\n\nThe model classifies reviews into sentiment categories (1 to 5 stars). Reviews are scraped from a website (Yelp) and passed through a fine-tuned multilingual BERT model to generate sentiment scores.\n\n---\n\n## 🚀 Features\n\n- ✅ Web scraping using BeautifulSoup\n- ✅ Tokenization using HuggingFace Transformers\n- ✅ Sentiment scoring using BERT\n- ✅ DataFrame construction for visualization/analysis\n\n---\n\n## 🛠️ Installation\n\nInstall all required packages using:\n\n```bash\npip install -r requirements.txt\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkrish57-bit%2Fsentiment-analysis-using-bert","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkrish57-bit%2Fsentiment-analysis-using-bert","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkrish57-bit%2Fsentiment-analysis-using-bert/lists"}