A collection of NLP Applications built using FastAPI, HTML, CSS, and Streamlit.
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Updated
May 23, 2023 - HTML
A collection of NLP Applications built using FastAPI, HTML, CSS, and Streamlit.
various ways to summarise text using the libraries available for Python: pyteaser, sumy, gensim, pytldr, XLNET, BERT, and GPT2.
TextRank implementation for C#
Summarize any text from an article, journal, story and more by simply copying and pasting that text.
Library for the MeaningCloud API, see https://www.meaningcloud.com/
Teen Hacks LI Hackathon project- Text Summarizer, using Natural Language Processing to summarize input text with desired variability in length of summary in ratio of input length
Seq2seq neural network model for text summarization
Multi-document Text Summarization using Map Reduce. Implemented in Java which Involves KMeans Clustering, Topic Modelling, finding Semantic terms, Summarizing.
Teal deer (from TL;DR) helps you get the gist of all the stuff you need to read, so you don't have to read it all at once.
This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube
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