{"id":18317713,"url":"https://github.com/datarohit/imdb-reviews-sentiment-analysis","last_synced_at":"2026-04-29T16:34:17.984Z","repository":{"id":167551794,"uuid":"504141169","full_name":"DataRohit/IMDB-Reviews-Sentiment-Analysis","owner":"DataRohit","description":"This is a NLP - Sentiment Analysis Project built using Bernoulli-Naive-Bayes Algorithm to Predict is the IMDB Movie Review is Positive or Negative. ","archived":false,"fork":false,"pushed_at":"2022-06-16T13:25:04.000Z","size":162,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-15T07:47:37.898Z","etag":null,"topics":["bernoulli-naive-bayes","classification","count-vectorizer","multinomial-naive-bayes","nltk","numpy","pandas","porter-stemmer","regex","sentiment-analysis","sklearn"],"latest_commit_sha":null,"homepage":"https://www.kaggle.com/code/datarohitingole/movie-review-sentiment-analysis-naivebayes","language":null,"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/DataRohit.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":"2022-06-16T12:09:32.000Z","updated_at":"2022-06-16T14:04:27.000Z","dependencies_parsed_at":"2023-05-23T01:30:11.048Z","dependency_job_id":null,"html_url":"https://github.com/DataRohit/IMDB-Reviews-Sentiment-Analysis","commit_stats":null,"previous_names":["datarohit/imdb-reviews-sentiment-analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataRohit%2FIMDB-Reviews-Sentiment-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataRohit%2FIMDB-Reviews-Sentiment-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataRohit%2FIMDB-Reviews-Sentiment-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataRohit%2FIMDB-Reviews-Sentiment-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DataRohit","download_url":"https://codeload.github.com/DataRohit/IMDB-Reviews-Sentiment-Analysis/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248054218,"owners_count":21039951,"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":["bernoulli-naive-bayes","classification","count-vectorizer","multinomial-naive-bayes","nltk","numpy","pandas","porter-stemmer","regex","sentiment-analysis","sklearn"],"created_at":"2024-11-05T18:07:12.610Z","updated_at":"2025-09-20T10:53:13.819Z","avatar_url":"https://github.com/DataRohit.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# IMDB Reviews - Sentiment Analysis\n\n\u003cbr/\u003e\n\n## Data\n\n#### Data for this project is taken from Kaggle. It contains 50K Movie Reviews categorised into 'positive' and 'neagtive'. The review text is uncleaned and needs preprocessing. Find this data [here](https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews).\n\n\u003chr/\u003e\n\n## Files\n\n#### The code is written in python using google colab. Find all the for the project [here](https://drive.google.com/drive/folders/1dS0wjjAfZgmgvPmwJ-FkEfr_yYu3-A1H?usp=sharing).\n\n\u003chr/\u003e\n\n## Analysis\n\n#### The analysis on this data is performed using Bernoulli Naive Bayes giving 87-88% accuracy and Multinomial Naive Bayes giving 88-89% accuracy.\n\n\u003chr/\u003e\n\n## End-to-End\n\n#### The webapp to test this sentiment analysis model is built using streamlit. View streamlit docs [here](https://docs.streamlit.io/). Below is the image of the webapp desing.\n\n![Screenshot](img/imdb-reviews.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatarohit%2Fimdb-reviews-sentiment-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdatarohit%2Fimdb-reviews-sentiment-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatarohit%2Fimdb-reviews-sentiment-analysis/lists"}