text-clustering
There are 105 repositories under text-clustering topic.
jbesomi/texthero
Text preprocessing, representation and visualization from zero to hero.
xlang-ai/instructor-embedding
[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
murray-z/text_analysis_tools
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）
RandyPen/TextCluster
短文本聚类预处理模块 Short text cluster
plkmo/NLP_Toolkit
Library of state-of-the-art models (PyTorch) for NLP tasks
ArikReuter/TopicGPT
TopicGPT allows to integrate the benefits of LLMs into Topic Modelling
sidphbot/Auto-Research
Generate custom detailed survey paper with topic clustered sections and proper citations, from just a single query in just under 30 mins !!
KeremZaman/semantic-sh
semantic-sh is a SimHash implementation to detect and group similar texts by taking power of word vectors and transformer-based language models (BERT).
LMU-Seminar-LLMs/TopicGPT
TopicGPT allows to integrate the benefits of LLMs into Topic Modelling
ScottishFold007/FastThresholdClustering
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.
Tikquuss/meta_XLM
Cross-lingual Language Model (XLM) pretraining and Model-Agnostic Meta-Learning (MAML) for fast adaptation of deep networks
trinker/clustext
Easy, fast clustering of texts
JayKumarr/OSDM
This code belongs to ACL conference paper entitled as "An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering"
ttavni/2D_Text_Clustering
Using word embeddings, TFIDF and text-hashing to cluster and visualise text documents
1997alireza/QA-Clustering
Implementation of some algorithms for text clustering
chrisPiemonte/url2vec
Graph clustering and Node embeddings with word2vec
Navy10021/SLS
SLS : Neural Information Retrieval(IR)-based Semantic Search model
pemagrg1/sentence-clustering
Sentence Clustering and visualization. Created Date: 25 Apr 2018
SpringerNLP/Chapter3
Chapter 3: Text and Speech Basics
alaradirik/TR-NLP-workshop
2020 Açık Seminer - Turkish NLP workshop
eigenfoo/reddit-clusters
Understanding hateful subreddits through text clustering
Snowing-ST/Exploring-Data-Analysis
探索性数据分析期末报告，text clustering with Kmeans/GMM/NMF
ThorstenDoherr/searchengine
heuristic matching of large databases by fuzzy criteria like addresses
durgeshsamariya/awesome-clustering-resources
Clustering related books and research papers.
pemagrg1/Magic-Of-TFIDF
TFIDF being the most basic and simple topic in NLP, there's alot that can be done using TFIDF only! So, in this repo, I'll be adding the blog, TFIDF basics, wonders done using tfidf etc.
pokarats/gsdmm
Gibbs Sampling Dirichlet Multinomial Model (GSDMM) for Short-Text Clustering
VIDA-NYU/domain_discovery_API
Domain Discovery Operations API formalizes the human domain discovery process by defining a set of operations that capture the essential tasks that lead to domain discovery on the Web as we have discovered in interacting with the Subject Matter Experts (SME)s.
Navy10021/Parallel_Clustering_based_TM
Parallel clustering-based Topic Modeling
SnehaVM/Implementation-of-DBSCAN-Clustering-Algorithm
DBSCAN algorithm from scratch in Python -- to cluster text records.
sowmyagowri/Text-Clustering
Python Program for Text Clustering using Bisecting k-means
MNoorFawi/text-kmeans-clustering-with-python
simple text clustering using kmeans algorithm
alexiszamanidis/news_articles_text_mining
News Articles Text Classification and Clustering using Machine Learning in Python. Also, KNN implementation from scratch using max heap.
Dennis1989/textClustPy
This is an implementation of the TextClust algorithm in Python 3.
Narius2030/Vietnamese-Text-Classification-and-Clustering
This project build a classification model for topics of news. With the target is automatically recognize suitable topic (class) to a random article. There are two architectures implemented which are LSTM and Hybrid models