The most popular spellchecking library.
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Updated
Jun 2, 2024 - C++
The most popular spellchecking library.
Монгол үгийн алдаа шалгах толь, Mongolian spellchecking dictionary
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.
Repo Related to Natural Language Processing and Social Media Analytics.
Data Pre-processing Application/UI is a simple UI which can automate repitive tasks, while ensuring consistency and efficiency in NLP data preprocessing.
Apply ensemble technique of model stacking to predict patient's readmission
University of Tehran-Artificial Intelligence Spring 2021
Porter stemming library (C++)
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Sentiment Analysis For Restaurant Reviews
🍊 📄 Text Mining add-on for Orange3
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.
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