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Cantonese Linguistics and NLP
NLP Functions for amplifying negations, managing elisions, creating ngrams, stems, phonetic codes to tokens and more.
PHP | A collection of stop words for e.g. search-functions.
📝 Summary.JS is a Light Weight Article Summary Library for Vanilla JavaScript and Node.js
Resources related to NLP
Mycroft AI official Stop Skill - stop the actions of a Skill that are in progress
Built a complete search engine by creating an Inverted Index on the Wikipedia corpus ( of 2018 with size 72 GB). That gives you top search result related to given query words.
Improving Arabic Light Stemming in Information Retrieval Systems
Chrome extension that adds answers for an online stop game
Stop words annotator for Stanford's CoreNLP library.
To categorize tweets according to the severity level of suicidal intentions expressed in tweets’ text.
List of Most Used or Stop Words of Urdu. Approximately 300 Words
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
This is a simple Spring Boot project which removes stop words from a text file.
A julia package contains a collection of stop words for multiple languages.
A Naive Bayes classifier was used to predict the probability of salary being above certain threshold according to certain job descriptions
Text processing, stop word removal, and word frequency analysis using Python run in a Docker container.
Practice of Natural Language Processing
Women's' E-commerce product review dataset downloaded from Kaggle will undergo in this code a sentiment analysis process
post classifing based on bag of words technique and natural language processing steps to classify post in social media into alot of categories
Natural language processing for Tamazight language
An Implement of search Engine
piores lugares para se estar na TI , worst place to work in Brasil
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.
Indexing and Retrieval Models
Implementing the Naïve Bayes algorithm for text classification tasks
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.