Repo Related to Natural Language Processing and Social Media Analytics.
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Updated
May 24, 2024 - Jupyter Notebook
Repo Related to Natural Language Processing and Social Media Analytics.
The most popular spellchecking library.
Porter stemming library (C++)
Natural language toolkit for Indonesian Language (Bahasa)
Sentiment Analysis For Restaurant Reviews
🍊 📄 Text Mining add-on for Orange3
The goal of this project is to develop a machine learning model that can classify movie reviews as positive or negative based on the sentiment expressed in the text.
This project develops a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either being positive or negative.
Customer sentiment analysis is the process of using natural language processing (NLP) and machine learning techniques to analyze and understand the feelings, opinions, and attitudes expressed by customers in textual data, such as reviews, feedback, and social media posts.
PHP client StopWords for Portuguese Brazilian Language
Extract text content from an HTML page, process it, and extract unique words from the processed text. This notebook utilizes various text processing techniques including cleaning, normalization, tokenization, lemmatization or stemming, and stop words removal.
Gentle introduction to basic elasticsearch constructs boosting search: ngrams, shingles, stemmers, suggesters and fuzzy queries.
Information Retrieval (IR) Engine
Various projects employing a multitude of natural language processing techniques to generate insight. Tokenization, stemming, a TF_IDF vectorizer, sentiment analysis, latent Dirichlet allocation
Монгол үгийн алдаа шалгах толь, Mongolian spellchecking dictionary
State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.
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