NLP use cases using popular solutions: Frequency Embeddings, Word embedding (word2vec, doc2vec, Glove), RNN,LSTM, Transformers-BERT, Sentence_Transformers etc. PyTorch
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Updated
May 15, 2024 - Jupyter Notebook
NLP use cases using popular solutions: Frequency Embeddings, Word embedding (word2vec, doc2vec, Glove), RNN,LSTM, Transformers-BERT, Sentence_Transformers etc. PyTorch
Project for the subject Data Laboratories, done in Python, using Web Scraping techniques, curation of Data Frames, Data Visualization and Classification, Natural Language Processing and Regression Models.
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity
Vectorization Techniques in Natural Language Processing Tutorial for Deep Learning Researchers
A library for advanced Natural Language Processing towards multi-modal educational items.
A detailed comparison between 3 different techniques (TF-IDF, Doc2Vec, and Sentence Transformers) for performing semantic search on a huge dataset
This project focuses on analyzing patient feedback regarding the treatment provided by home healthcare service agencies.
a case-study within the "sirius.AI" program
PPA breaks down privacy policies, aiming to simplify their understanding. By exploring data and using Doc2Vec modeling, it works toward clearer and more digestible policy insights.
筑波大学シラバスデータを用いて科目概要を Doc2Vec でベクトル化し、類似した科目を表示する
Addressing Political Bias in News Articles with Multinomial Regression
Detect similar songs in your songbeamer archive 🗃️ by using doc2vec
Recommendation engine framework based on Wikipedia data
This plugin adds a new feature extractor based on doc2vec with a wider vector.
Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).
Using Doc2Vec, Langchain and OpenAI to chat with Natserract blog https://engineering-natserract.vercel.app/
A Python server to be invoked doc2vec method, which uses TensorFlow and BERT model.
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