Microblog information retrieval system. Implementing an Information Retrieval (IR) system based on a collection of documents (Twitter messages).

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.

Studies related to text analyses and creation of wordclouds with Python.

analyzes the textual content of a webpage, identifying and ranking the most common words found within it

wikibooks.org E-books analysis

a repo for everyday Natural Language Processing in Python

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

This is a comprehensive stopwords for natural language processing and text mining.

Laboratory 1 - Retrieval Information

Basic Search Engine is built using Python.

stopwordgen automatically builds the stop words for a given dataset.

This program is a project carried out in the Natural Language Processing course, which is a Taylor Swift song recommender. It utilizes topics such as sentiment analysis in texts, text vectorization, and the removal of stopwords.