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

Sentence Clustering and visualization. Created Date: 25 Apr 2018

Graph clustering and Node embeddings with word2vec

Python Program for Text Clustering using Bisecting k-means

It is a very different task, as here I am going to cluster 200 different texts related to games and sports in 2 or more different clusters. we can also use zipf plot to determine how many useful clusters can be formed.

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

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.

Chapter 3: Text and Speech Basics

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

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

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

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

A comprehensive news aggregation and text analysis system that leverages advanced machine learning techniques to process Vietnamese news articles.

This is an implementation of the TextClust algorithm in Python 3.