182 Open source projects that are alternatives of or similar to Top2vec

Beautiful visualizations of how language differs among document types.

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Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

Topic Modelling for Humans

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🍘 単語分割を経由しない単語埋め込み 🍘

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A python package to run contextualized topic modeling. CTMs combine BERT with topic models to get coherent topics. Also supports multilingual tasks. Cross-lingual Zero-shot model published at EACL 2021.

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Programs with word vectors, RNN, NLP stuff, etc

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

A simple Shiny App for Topic Modeling in R

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semi supervised guided topic model with custom guidedLDA

implemented : lsa, plsa, lda

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The official implementation of ACL 2019 paper "Topic-Aware Neural Keyphrase Generation for Social Media Language"

Fast topic modeling platform

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

Simple downloader for pre-trained word vectors

Sample code for training Word2Vec and FastText using wiki corpus and their pretrained word embedding..

An algorithm to augment syntactic hierarchy into word embeddings

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Twitter Trends is a web-based application that automatically detects and analyzes emerging topics in real time through hashtags and user mentions in tweets. Twitter being the major microblogging service is a reliable source for trends detection. The project involved extracting live streaming tweets, processing them to find top hashtags and user …

Paper reading list in natural language processing, including dialogue systems and text generation related topics.

Sentiment Analysis: Deep Bi-LSTM+attention model

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Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"

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Learning structural topic modeling using the stm R package.

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Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

PyTorch implementation of context2vec from Melamud et al., CoNLL 2016

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📝 Topic Modeling for Humans