{"id":30855141,"url":"https://github.com/c-azb/comments-analysis-llm-django","last_synced_at":"2026-05-07T10:32:25.184Z","repository":{"id":311143733,"uuid":"1040005983","full_name":"c-azb/comments-analysis-llm-django","owner":"c-azb","description":"Web integration of distilBert and llama for comments sentiment classification and overall summary.","archived":false,"fork":false,"pushed_at":"2025-11-24T16:41:00.000Z","size":378,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-11-28T05:11:00.641Z","etag":null,"topics":["distilbert","django","fine-tuning-llm","llama","llm","sentiment-analysis","sentiment-classification","summarizer"],"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/c-azb.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,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-08-18T10:11:37.000Z","updated_at":"2025-11-24T16:41:04.000Z","dependencies_parsed_at":null,"dependency_job_id":"5f074b4c-2a51-4a7e-bd4c-d6c3df9287fa","html_url":"https://github.com/c-azb/comments-analysis-llm-django","commit_stats":null,"previous_names":["c-azb/comments-analysis-llm-django"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/c-azb/comments-analysis-llm-django","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/c-azb%2Fcomments-analysis-llm-django","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/c-azb%2Fcomments-analysis-llm-django/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/c-azb%2Fcomments-analysis-llm-django/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/c-azb%2Fcomments-analysis-llm-django/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/c-azb","download_url":"https://codeload.github.com/c-azb/comments-analysis-llm-django/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/c-azb%2Fcomments-analysis-llm-django/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32733480,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-07T02:14:30.463Z","status":"ssl_error","status_checked_at":"2026-05-07T02:14:29.405Z","response_time":62,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 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":["distilbert","django","fine-tuning-llm","llama","llm","sentiment-analysis","sentiment-classification","summarizer"],"created_at":"2025-09-07T11:03:00.304Z","updated_at":"2026-05-07T10:32:25.180Z","avatar_url":"https://github.com/c-azb.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n\nComments analysis\n--\n\nIn [Sentiment Analysis nb](https://github.com/c-azb/comments-analysis-llm-django/tree/main/Sentiment%20Analysis%20nb), you can find the fine-tuning process for sentiment classification using the distilBERT pretrained model and the Hugging Face libraries. You can also find a notebook to create the comments overall summarizer using Llama, Langchain, and Ollama.\n\nOn [sent_web](https://github.com/c-azb/comments-analysis-llm-django/tree/main/sent_web) we integrate the AI models developed on \"Sentiment Analysis nb\" with a web application using Django.\n\nThe web application allows the user to upload a file that contains the comments. On submit, the comments are first classified individually by the fine-tuned DistilBert model, and basic statistics are calculated. After the comments are analyzed by an LLM to provide an overall summary. 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