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.
🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴
Container-first, JSON-configurable, NLP REST service based on Flair
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.
Word embedding in Java
Telegram Data Clustering Contest (Bossy Gnu's submission )
Service for producing text representations via word embeddings
An open-source framework to create and test document embeddings using topic models.
Dive into the world of Word2Vec and Doc2Vec models to uncover insights and applications.
LD Connect: A Linked Data Portal for IOS Press Scientometrics
Applying NLP to understand people's sentiment about Covid-19 and Government actions in Italy, conditional on their political affiliation.
Improving document embedding with weighted average of word embedding through topic modeling
Experiments on Neural Language Embeddings
Content-based book recommendation system
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