A Streamlit app to extract keywords using KeyBert
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Updated
May 8, 2021 - Jupyter Notebook
A Streamlit app to extract keywords using KeyBert
semantically distinct key phrase extraction using hilbert hashes.
Topic Inference with Zeroshot models
Content based recommender system for books using NLP.
Create narrated video story from book chapter using NLP, OpenAI and StableDiffusion.
Keyword Extraction and Analysis Pipeline & Application with KeyBERT and Taipy
AdaptKeyBERT: keyword/keyphrase extraction with zero-shot and few-shot semi-supervised domain adaptation
Keyword extraction using Scake, KeyBERT, Fine-tuning Transformer BERT-like models and ChatGPT.
grading and plagiarism models
Trying to incorporate new features using various Hasing techniques to detect phishing websites. Also doing something like searching the logo of the website and extracting keywords to search again to lead to the legitimate site.
This is setup for Estonian text use of keyword extraction with KeyBERT. The setup features provided languages with special MMR setup diversity.
A Quantitative Analysis of Unsupervised Keyword Extraction Methods This code is part of a Bachelor thesis at Humboldt University Berlin.
Microsoft Edge Extention which paraphrase text.
Extracting Keywords from given text
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