790 Open source projects that are alternatives of or similar to Contextualized Topic Models

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A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

The Entire Transcript from the Office in Tidy Format

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

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Topic modelling on financial news with Natural Language Processing

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自然语言处理常见任务（主要包括文本分类，序列标注，自动问答等）解决方案试验田

👄 The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike

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Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

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Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

Projects and useful articles / links

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

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BertQA - Attention on Steroids

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

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A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

A PureScript, browser-based implementation of LDA topic modeling.

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

Knowledge Graph Embedding LDA. AAAI 2017

Sentiment Analysis: Deep Bi-LSTM+attention model

本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。

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