Web App to classify diaster reponse messages into response categories
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Updated
Apr 9, 2021 - Python
Web App to classify diaster reponse messages into response categories
This project serves as a comprehensive tool for collecting Hadiths from online sources, preprocessing the textual data, and extracting valuable insights using NLP methodologies. By combining web scraping techniques with advanced text processing algorithms, the project facilitates the analysis and understanding of Hadiths in a structured manner.
This project aims to help people implement tensorflow model pipelines quickly for different nlp tasks.
NLP pipeline (spacy.io) for PCU project
Categorize disater type based on text
NLP4All is a learning platform for educational institutions to help students that are not in data-oriented fields to understand natural language processing techniques and applications.
Natural Language Processing, or NLP, is the sub-field of AI that is focused on enabling computers to understand and process human languages.
Text preprocessing, representation and visualization from zero to hero.
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