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RATHOD-SHUBHAM / AmazonComprehend-Natural-Language-Processing--NLP

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Amazon Comprehend is a natural-language processing (NLP) service that uses machine learning to uncover information in unstructured data. The service can identify critical elements in data, including references to language, people, and places, and the text files can be categorized by relevant topics.

nlp training natural-language-processing cloud validation amazon s3-bucket prediction topic-modeling python-3 amazon-web-services boto3 predictive-modeling nlp-machine-learning cloudcomputing amazon-s3 custom-classifier
  • Updated Sep 4, 2021
  • Jupyter Notebook

GarrickPinon / TruStorE

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NLP classifier for misinformation detection. TruStorE™ blends linguistic heuristics, sentiment drift analysis, and Word Pair Logic™ to flag manipulative tone in news articles, a tell-tale sign of fake news as emotions are elicited to replace facts. Built for reproducibility, modular deployment, and artifact-grade impact.

nlp sentiment-analysis text-classification supervised-learning tf-idf signal-detection classification-algorithims decision-engine custom-classifier modular-architecture explainable-ai tone-detection heuristic-algorithms misinformation-detection linguistic-heuristics quantitative-nlp linguistic-modeling
  • Updated Sep 16, 2025
  • Jupyter Notebook

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