Top2Vec learns jointly embedded topic, document and word vectors.
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Updated
May 12, 2024 - Python
Top2Vec learns jointly embedded topic, document and word vectors.
Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.
Expose a Top2Vec model with a REST API.
Service for producing text representations via word embeddings
Telegram Data Clustering Contest (Bossy Gnu's submission )
Word embedding in Java
We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.
🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴
Applying NLP to understand people's sentiment about Covid-19 and Government actions in Italy, conditional on their political affiliation.
LD Connect: A Linked Data Portal for IOS Press Scientometrics
Container-first, JSON-configurable, NLP REST service based on Flair
An open-source framework to create and test document embeddings using topic models.
Improving document embedding with weighted average of word embedding through topic modeling
Dive into the world of Word2Vec and Doc2Vec models to uncover insights and applications.
Experiments on Neural Language Embeddings
Content-based book recommendation system
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