https://github.com/akashp1712/nlp-akash

Natural Language Processing notes and implementations.
https://github.com/akashp1712/nlp-akash

natural-language-processing nlp nlp-akash nltk summarization text-summarization

Last synced: 29 days ago
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Natural Language Processing notes and implementations.

• Host: GitHub
• URL: https://github.com/akashp1712/nlp-akash
• Owner: akashp1712
• License: mit
• Created: 2019-01-09T00:55:38.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2023-01-16T07:32:29.000Z (over 2 years ago)
• Last Synced: 2024-11-17T22:35:53.755Z (7 months ago)
• Topics: natural-language-processing, nlp, nlp-akash, nltk, summarization, text-summarization
• Language: Python
• Homepage:
• Size: 2.91 MB
• Stars: 73
• Watchers: 10
• Forks: 44
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# nlp-akash

## Natural Language Processing notes and implementations


Learning Notes: [nlp-learning](https://github.com/akashp1712/nlp-akash/blob/master/nlp-learning.md)

#### Note: if you like my work, please support by adding yourself for [LessenText](https://yep.so/p/lessentextai?ref=github) Beta program.







## Text Summarization

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### Algorithms

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#### 1. Summarization implementation using word frequency.

   [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/akashp1712/streamlit-text-summarization/main/app.py)


   Code: [**Word_Frequency_Summarization:**](https://github.com/akashp1712/nlp-akash/blob/master/text-summarization/Word_Frequency_Summarization.py) 


   Article: [**Text summarization in 5 steps using NLTK**](https://becominghuman.ai/text-summarization-in-5-steps-using-nltk-65b21e352b65)

#### 2. Summarization implementation using TF-IDF algorithm

   [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/akashp1712/streamlit-text-summarization/main/app.py)


   Code: [**TF_IDf_Summarization:**](https://github.com/akashp1712/nlp-akash/blob/master/text-summarization/TF_IDF_Summarization.py) 


   Article: [**Text Summarization using TF-IDF**](https://towardsdatascience.com/text-summarization-using-tf-idf-e64a0644ace3)

#### 3. Fetch top sentences using TextRank Algorithm

   Code: [**TextRank for Sentences:**](https://github.com/akashp1712/nlp-akash/blob/master/text-summarization/text_rank_sentences.py) 


   Article: [**Sentence Extraction in Python using TextRank Algorithm**](https://medium.com/analytics-vidhya/sentence-extraction-using-textrank-algorithm-7f5c8fd568cd)

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### Projects

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#### 1. Summarize webapge from the given URL.

   Code: [**https://github.com/akashp1712/summarize_webpage**](https://github.com/akashp1712/summarize_webpage)