{"id":13785882,"url":"https://github.com/akashp1712/nlp-akash","last_synced_at":"2025-05-11T21:32:07.925Z","repository":{"id":122943127,"uuid":"164758503","full_name":"akashp1712/nlp-akash","owner":"akashp1712","description":"Natural Language Processing notes and implementations.","archived":false,"fork":false,"pushed_at":"2023-01-16T07:32:29.000Z","size":3056,"stargazers_count":73,"open_issues_count":2,"forks_count":44,"subscribers_count":10,"default_branch":"master","last_synced_at":"2024-11-17T22:35:53.755Z","etag":null,"topics":["natural-language-processing","nlp","nlp-akash","nltk","summarization","text-summarization"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/akashp1712.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2019-01-09T00:55:38.000Z","updated_at":"2024-10-21T09:05:11.000Z","dependencies_parsed_at":null,"dependency_job_id":"ca403b72-0334-4f99-8976-69f4fa50bea5","html_url":"https://github.com/akashp1712/nlp-akash","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akashp1712%2Fnlp-akash","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akashp1712%2Fnlp-akash/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akashp1712%2Fnlp-akash/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/akashp1712%2Fnlp-akash/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/akashp1712","download_url":"https://codeload.github.com/akashp1712/nlp-akash/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253638961,"owners_count":21940434,"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":["natural-language-processing","nlp","nlp-akash","nltk","summarization","text-summarization"],"created_at":"2024-08-03T19:01:05.963Z","updated_at":"2025-05-11T21:32:05.343Z","avatar_url":"https://github.com/akashp1712.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# nlp-akash\n## Natural Language Processing notes and implementations\u003cbr/\u003e\nLearning Notes: [nlp-learning](https://github.com/akashp1712/nlp-akash/blob/master/nlp-learning.md)\n\n#### Note: if you like my work, please support by adding yourself for [LessenText](https://yep.so/p/lessentextai?ref=github) Beta program.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"./docs/images/nlp.jpg\" alt=\"Natural Language Processing\" width=\"900\" height=\"450\"/\u003e\n\u003cp\u003e\n\n## Text Summarization\n--------------------\n### Algorithms\n--------------------\n#### 1. Summarization implementation using word frequency.\n   [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/akashp1712/streamlit-text-summarization/main/app.py)\u003cbr/\u003e\n   Code: [**Word_Frequency_Summarization:**](https://github.com/akashp1712/nlp-akash/blob/master/text-summarization/Word_Frequency_Summarization.py) \u003cbr/\u003e\n   Article: [**Text summarization in 5 steps using NLTK**](https://becominghuman.ai/text-summarization-in-5-steps-using-nltk-65b21e352b65)\n\n#### 2. Summarization implementation using TF-IDF algorithm\n   [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/akashp1712/streamlit-text-summarization/main/app.py)\u003cbr/\u003e\n   Code: [**TF_IDf_Summarization:**](https://github.com/akashp1712/nlp-akash/blob/master/text-summarization/TF_IDF_Summarization.py) \u003cbr/\u003e\n   Article: [**Text Summarization using TF-IDF**](https://towardsdatascience.com/text-summarization-using-tf-idf-e64a0644ace3)\n\n#### 3. Fetch top sentences using TextRank Algorithm\n   Code: [**TextRank for Sentences:**](https://github.com/akashp1712/nlp-akash/blob/master/text-summarization/text_rank_sentences.py) \u003cbr/\u003e\n   Article: [**Sentence Extraction in Python using TextRank Algorithm**](https://medium.com/analytics-vidhya/sentence-extraction-using-textrank-algorithm-7f5c8fd568cd)\n\n\n--------------------\n### Projects\n--------------------\n#### 1. Summarize webapge from the given URL.\n   Code: [**https://github.com/akashp1712/summarize_webpage**](https://github.com/akashp1712/summarize_webpage)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakashp1712%2Fnlp-akash","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fakashp1712%2Fnlp-akash","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakashp1712%2Fnlp-akash/lists"}