Text Tonsorium - a toolbox that automatically arranges NLP tools in workflows and enacts them with user's inputs
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Updated
Oct 18, 2024 - PHP
Text Tonsorium - a toolbox that automatically arranges NLP tools in workflows and enacts them with user's inputs
Fake News Detection** is a natural language processing task that involves identifying and classifying news articles or other types of text as real or fake.
Reduce manual effort in HRM Department using NLP
Analyzing Of Tweet Sentiments of Covid-19 Dataset Using Supervised Learning Classification Algorithms
Information retrieval system based on the word embedding technique (word2vec)
Text Processing performed on the Apple Macbook for feature extraction
A NLP app built with streamlit framework using SpaCy for Tokenization,Lemmatization,Parts of Speech (POS) Tagging and Named Entity Extraction(NER),TextBlob for Sentiment Analysis.
NLP Spam Classifier Model to separate out Spam messages from legitimate messages.
Sentiment mining
Classifying a tweet as positive, neutral, or negative sentiment using Natural Language Processing (CBOW approaches) and Traditional Machine Learning Algorithms.
Contains some basic primitive implementations of NLP concepts.
A sentiment analysis based on the Amazon food reviews dataset.
This repo is about Natural Language Processing (NLP).
Collection and resources for Bulgarian Corpus, Datasets and Models used in ASR, TTS or NLP tasks together with the links of corresponding tools/apps.
Natural language processing is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human languages, in particular how to program computers to process and analyze large amounts of natural language data
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