text-clustering

Text preprocessing, representation and visualization from zero to hero.

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

中文文本分析工具包（包括- 文本分类 - 文本聚类 - 文本相似性 - 关键词抽取 - 关键短语抽取 - 情感分析 - 文本纠错 - 文本摘要 - 主题关键词-同义词、近义词-事件三元组抽取）

短文本聚类预处理模块 Short text cluster

Library of state-of-the-art models (PyTorch) for NLP tasks

TopicGPT allows to integrate the benefits of LLMs into Topic Modelling

Generate custom detailed survey paper with topic clustered sections and proper citations, from just a single query in just under 30 mins !!

semantic-sh is a SimHash implementation to detect and group similar texts by taking power of word vectors and transformer-based language models (BERT).

TopicGPT allows to integrate the benefits of LLMs into Topic Modelling

FastThresholdClustering is an efficient vector clustering algorithm based on FAISS, particularly suitable for large-scale vector data clustering tasks. The algorithm features intuitive and easy-to-select hyperparameters, uses cosine similarity as its distance metric, and supports GPU acceleration.

Cross-lingual Language Model (XLM) pretraining and Model-Agnostic Meta-Learning (MAML) for fast adaptation of deep networks

Easy, fast clustering of texts

Using word embeddings, TFIDF and text-hashing to cluster and visualise text documents

This code belongs to ACL conference paper entitled as "An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering"

Implementation of some algorithms for text clustering

Graph clustering and Node embeddings with word2vec

Chapter 3: Text and Speech Basics

探索性数据分析期末报告，text clustering with Kmeans/GMM/NMF

Sentence Clustering and visualization. Created Date: 25 Apr 2018