Topic Modelling for Humans
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Updated
May 18, 2024 - Python
Topic Modelling for Humans
A system based on the study by Aranzamendez, Bolito, and Rafe (2024) titled "An Enhancement of Content-based Filtering Applied in Movie Recommendation System."
⚡️ 80x faster language detection with Fasttext | Split text by language for TTS
Automatic paper clustering and search tool by fastext from Facebook Research
Mostly using Google Colab
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
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
Tools for shrinking fastText models (in gensim format)
in this repository, I am writing the CBOW and skip-gram algorithms from scratch. Also, I will describe the algorithm of their construction, the main features and their time complexity and memory
Using Neural Representations for Generating Intent-based Query Phrases
Tools for training schema-aware Web table embedding for unsupervised and supervised machine learning on tabular data
Node and Browser env supported WebAssembly version of fastText: Library for efficient text classification and representation learning.
Corrects undetermined and not applicable subtitle flags within mkv files for anime.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Machine learning driven issue classification bot.
Targetted language identifier, based on FastText and Hunspell.
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