Applying NLP to understand people's sentiment about Covid-19 and Government actions in Italy, conditional on their political affiliation.
-
Updated
Jan 5, 2021 - Jupyter Notebook
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
Improving document embedding with weighted average of word embedding through topic modeling
Experiments on Neural Language Embeddings
Content-based book recommendation system
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.
Service for producing text representations via word embeddings
Telegram Data Clustering Contest (Bossy Gnu's submission )
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
Container-first, JSON-configurable, NLP REST service based on Flair
🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴
Expose a Top2Vec model with a REST API.
Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.
Top2Vec learns jointly embedded topic, document and word vectors.
Add a description, image, and links to the document-embedding topic page so that developers can more easily learn about it.
To associate your repository with the document-embedding topic, visit your repo's landing page and select "manage topics."