Clensify - Cleans your platform from profanity/obscenity, a npm package
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Updated
Feb 12, 2024 - TypeScript
Clensify - Cleans your platform from profanity/obscenity, a npm package
Implementing the Naïve Bayes algorithm for text classification tasks
An Implement of search Engine
post classifing based on bag of words technique and natural language processing steps to classify post in social media into alot of categories
Indexing and Retrieval Models
Design and implement efficient python code to find top K words, analyze performance on 3 input files using metrics. Focus on reducing execution time by skipping stop words. Preserve case sensitivity. Provide analysis of algorithm and data structure used.
Information retrieval system from web, documents and social media.
Natural Language Processing, or NLP for short, is broadly defined as the automatic manipulation of natural language, like speech and text, by software and basically a subset of machine learning that lets us extract insights from text data.
piores lugares para se estar na TI , worst place to work in Brasil
Practice of Natural Language Processing
Women's' E-commerce product review dataset downloaded from Kaggle will undergo in this code a sentiment analysis process
Text processing, stop word removal, and word frequency analysis using Python run in a Docker container.
PHP client StopWords for Portuguese Brazilian Language
A Naive Bayes classifier was used to predict the probability of salary being above certain threshold according to certain job descriptions
Natural language processing for Tamazight language
A julia package contains a collection of stop words for multiple languages.
is-stop-words is a lightweight npm package that allows you to check whether a word is a stop word or not.
Package provides java implementation of various text preprocessing methods such as tokenizers, vocabulary, text filter, stemmer, and so on
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