NLP Basics trained on various TFDS
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Updated
Sep 1, 2020 - Python
NLP Basics trained on various TFDS
Project in NLP specialization. Bag of words model helps in reading text and predicting the category.
This project is helpful in finding the occurance of most occured words in wikipedia related to any word(s) enter by user
Text preprocessing, indexer constructions, and search engines implementation for information retrieval. Performance analysis done by measuring the construction time of indexers.
analyzes the textual content of a webpage, identifying and ranking the most common words found within it
Laboratory 1 - Retrieval Information
A python application for removing stop words from a text .Using this app is built on idea of using an image docker ,so using docker image will run a container to use this app
Basic Search Engine is built using Python.
This is a Email/SMS spam detection app that uses Multinominal Naive Bayes model to make prediction with an accuracy score of 97.0%.
Microblog information retrieval system. Implementing an Information Retrieval (IR) system based on a collection of documents (Twitter messages).
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