{"id":20130631,"url":"https://github.com/ramyacp14/sentimentanalysis","last_synced_at":"2026-04-07T20:32:43.751Z","repository":{"id":199986414,"uuid":"579562863","full_name":"ramyacp14/SentimentAnalysis","owner":"ramyacp14","description":"Implements a sentiment analysis model to determine the emotional tone behind text, helping understand attitudes, opinions, and emotions in online mentions.","archived":false,"fork":false,"pushed_at":"2024-09-06T20:01:26.000Z","size":3659,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-30T15:40:25.024Z","etag":null,"topics":["machine-learning","natural-language-processing","nltk","numpy","pandas","python","scikit-learn"],"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/ramyacp14.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}},"created_at":"2022-12-18T05:08:40.000Z","updated_at":"2024-09-07T02:17:59.000Z","dependencies_parsed_at":"2024-11-13T20:39:29.805Z","dependency_job_id":"fb6548de-d4c3-4cb9-b854-2557fe9effaf","html_url":"https://github.com/ramyacp14/SentimentAnalysis","commit_stats":null,"previous_names":["ramyacp14/sentimentanalysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ramyacp14/SentimentAnalysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ramyacp14%2FSentimentAnalysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ramyacp14%2FSentimentAnalysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ramyacp14%2FSentimentAnalysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ramyacp14%2FSentimentAnalysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ramyacp14","download_url":"https://codeload.github.com/ramyacp14/SentimentAnalysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ramyacp14%2FSentimentAnalysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31528467,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-07T16:28:08.000Z","status":"ssl_error","status_checked_at":"2026-04-07T16:28:06.951Z","response_time":105,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["machine-learning","natural-language-processing","nltk","numpy","pandas","python","scikit-learn"],"created_at":"2024-11-13T20:39:16.161Z","updated_at":"2026-04-07T20:32:43.698Z","avatar_url":"https://github.com/ramyacp14.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Sentiment Analysis Project\n\n## Description\nThis project implements a sentiment analysis model using Python and Jupyter Notebook. Sentiment analysis is the process of determining the emotional tone behind a series of words, used to gain an understanding of the attitudes, opinions and emotions expressed within an online mention.\n\n## Contents\n- `Sentiment Analysis.ipynb`: Jupyter Notebook containing the main code for the sentiment analysis model.\n\n## Requirements\n(List the main libraries and dependencies here. For example:)\n- Python 3.x\n- Jupyter Notebook\n- pandas\n- numpy\n- scikit-learn\n- NLTK\n\n## Installation\n1. Clone this repository:\n   ```\n   git clone https://github.com/ramyacp14/SentimentAnalysis.git\n   ```\n2. Install the required dependencies:\n   ```\n   pip install -r requirements.txt\n   ```\n\n## Usage\n1. Open the Jupyter Notebook:\n   ```\n   jupyter notebook \"Sentiment Analysis.ipynb\"\n   ```\n2. Follow the instructions within the notebook to run the sentiment analysis.\n\n## Contributing\nContributions to this project are welcome. Please fork the repository and submit a pull request with your changes.\n\n## Contact\nFor any questions or feedback, please contact Ramya Chowdary Patchala at ramyacp14@gmail.com\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Framyacp14%2Fsentimentanalysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Framyacp14%2Fsentimentanalysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Framyacp14%2Fsentimentanalysis/lists"}