{"id":20864225,"url":"https://github.com/kaludii/reviews-sentiment-analysis","last_synced_at":"2026-08-13T13:31:37.899Z","repository":{"id":87467839,"uuid":"601323536","full_name":"Kaludii/Reviews-Sentiment-Analysis","owner":"Kaludii","description":"A tool that analyzes the overall sentiment of customer reviews for a specific product or service, whether it's positive or negative.","archived":false,"fork":false,"pushed_at":"2023-02-13T21:54:08.000Z","size":93,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-09T01:50:41.513Z","etag":null,"topics":["ai","customer","gradio","model","reviews","sentiment","sentiment-analysis","trained"],"latest_commit_sha":null,"homepage":"https://huggingface.co/spaces/Kaludi/Reviews-Sentiment-Analysis_App","language":"Python","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/Kaludii.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":"2023-02-13T20:35:28.000Z","updated_at":"2023-07-18T09:22:39.000Z","dependencies_parsed_at":null,"dependency_job_id":"692fa8ff-6a36-4672-a706-815ae25051d3","html_url":"https://github.com/Kaludii/Reviews-Sentiment-Analysis","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Kaludii/Reviews-Sentiment-Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kaludii%2FReviews-Sentiment-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kaludii%2FReviews-Sentiment-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kaludii%2FReviews-Sentiment-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kaludii%2FReviews-Sentiment-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Kaludii","download_url":"https://codeload.github.com/Kaludii/Reviews-Sentiment-Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kaludii%2FReviews-Sentiment-Analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":36610049,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-08-06T04:43:03.162Z","status":"online","status_checked_at":"2026-08-13T02:00:06.325Z","response_time":111,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["ai","customer","gradio","model","reviews","sentiment","sentiment-analysis","trained"],"created_at":"2024-11-18T05:39:36.195Z","updated_at":"2026-08-13T13:31:37.879Z","avatar_url":"https://github.com/Kaludii.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# Sentiment Analysis of Customer Reviews\n\nA tool that analyzes the overall sentiment of customer reviews for a specific product or service, whether it's positive or negative. This analysis is performed by using natural language processing algorithms and machine learning from the model `Reviews-Sentiment-Analysis` trained by Kaludi, allowing businesses to gain valuable insights into customer satisfaction and improve their products and services accordingly.\n\nThis tool is built using the Gradio library and utilizes the `transformers` library for its machine learning capabilities.\n\n# Web App\nClick [Here](https://huggingface.co/spaces/Kaludi/Reviews-Sentiment-Analysis_App) To View This App Online!\n\n![Image](https://github.com/Kaludii/Reviews-Sentiment-Analysis/blob/main/images/Sentiment.png?raw=true)\n\n## Model\n\nThe sentiment analysis tool uses a pre-trained model 'Reviews-Sentiment-Analysis' available on HuggingFace at [https://huggingface.co/Kaludi/Reviews-Sentiment-Analysis](https://huggingface.co/Kaludi/Reviews-Sentiment-Analysis).\n\n## Dataset\n\nThe 'Reviews-Sentiment-Analysis' model was trained on a dataset of customer reviews also available on HuggingFace at [https://huggingface.co/datasets/Kaludi/data-reviews-sentiment-analysis](https://huggingface.co/datasets/Kaludi/data-reviews-sentiment-analysis).\n\n## How to Use\n\n1.  Clone or download the repository.\n2.  Install the required libraries by running `pip install -r requirements.txt`.\n3.  Run the script using `python app.py`.\n4.  Input a customer review in the textbox and click on \"Run\".\n5.  The output will show the sentiment prediction of the review as either Positive or Negative along with the respective confidence score.\n\n## Libraries Used\n\n-   Gradio\n-   Transformers\n-   Numpy\n-   Pandas\n-   Pickle\n-   Scipy\n\n## Model\n\nThe model `Reviews-Sentiment-Analysis` was trained by Kaludi and is available on [HuggingFace](https://huggingface.co/Kaludi).\n\n## Contributor\n\n-   [Kaludi](https://github.com/Kaludii)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaludii%2Freviews-sentiment-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkaludii%2Freviews-sentiment-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaludii%2Freviews-sentiment-analysis/lists"}