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GitHub / shubham5027 / Complete-Text-analysis-Using-Natural-Language-Processing

An NLP based APP includes features for spam detection, sentiment analysis, stress detection, hate and offensive content detection, and sarcasm detection. It leverages Natural Language Processing (NLP) techniques and machine learning models to analyze and classify text inputs. Table of Contents

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shubham5027%2FComplete-Text-analysis-Using-Natural-Language-Processing
PURL: pkg:github/shubham5027/Complete-Text-analysis-Using-Natural-Language-Processing

Stars: 4
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 10.6 MB
Dependencies parsed at: Pending

Created at: about 1 year ago
Updated at: 3 months ago
Pushed at: about 1 year ago
Last synced at: 4 days ago

Topics: classification, machine-learning, nlp, nltk, sarcasm-detection, sentiment-analysis, spam-detection, streamlit, tf-idf, vector

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