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The goal of the presidential vocabulary program is to find the most similar words to a given word based on all the speeches made by U.S. presidents. It uses Selenium to scrape transcripts of speeches from the Miller Center website.
This repository contains the implementation of our paper "Auto-labelling of Bug Report using Natural Language Processing". Our paper introduces an NLP-based method using bug report attributes, leveraging a neural network for retrieval.
Natural Language Processing for Google Play Applications. Where sentiment analysis was used on reviews to decide on new features to recommend developers.
This project explores the realm of Natural Language Processing (NLP) using Word2Vec and FastText models. Dive into domain-specific embeddings, analyze clinical trials data related to Covid-19, and uncover the power of AI and ML in understanding textual data.🌟
Romanian Word Embeddings. Here you can find pre-trained corpora of word embeddings. Current methods: CBOW, Skip-Gram, Fast-Text (from Gensim library). The .vec and .model files are available for download (all in one archive).