bertopic

drob-xx/TopicTuner

HDBSCAN Tuning for BERTopic Models

berksudan/OTMISC-Topic-Modeling-Tool

We created a topic modeling pipeline to evaluate different topic modeling algorithms, including their performance on short and long text, preprocessed and not preprocessed datasets, and with different embedding models. Finally, we summarized the results and suggested how to choose algorithms based on the task.

Aidenzich/HelloBERTopic

BERTopic 中文使用範例

RutgersComLab/nyt-topic-modeling

Topic modeling for NYT articles.

splevine/harnessing-nlp-cx-demo

Slides, Notebook and Data for Presentation: DataHour: Harnessing ML and NLP for Elevated Customer Experiences

gcalcedo/clusview

Build interactive topic modeling pipelines.

kstrassheim/active-learning-with-deep-learning-for-nlp

We present our concept of a new type of Active-Learning for Deep Learning with NLP text classification and experimentally prove its performance against Random Sampling as well as its runtime performance on the Security Threat dataset from CySecAlert. These new Active Learning algorithms are based on Sentence-BERT and BERTopic clustering algorithms with allow us to generate fixed length tokens for whole sentences to make them comparable to each other. Further the Tokens are Clustered using K-Means or HDBScan to get diverse clusters to pick the samples out of them.

CZboop/Newspaper-Topic-Modelling

Topic modelling and analysis of different UK newspapers, primarily using BERTopic

icecliffs/crawlAIdb

豆瓣平台爬虫系统+可视化信息管理及情感分析平台

janskwr/Russia-Ukraine-Twitter-Analysis

Natural Language Processing with Twitter data

nazir20/Twitter-Topic-Modeling-with-LSA-LDA-BERTopic-Top2Vec-and-NMF

Text Mining Final Project about Twitter Topic Modeling with different models

swati-rajwal/BreastCancer_tweets_project

Submission for CL4HEALTH @ LREC-COLING 2024

alexsaavedraa/Prompt-Recovery-Challenge

Kaggle Gold Medal (13th Place) Submission to Google's LLM Prompt Recovery Challenge

bengsoon/NYT_topic_modeling

BERT-based Topic Modeling on New York Times Headlines (160k rows)

hammadaslam1/reviews-classifier

This is my final year project "customer reviews classification and analysis system using data mining and nlp". It analyzes and then classifies the customer reviews on the basis of their fakeness, sentiments, contexts and topics discussed. The reviews are taken from various e-commerce platforms like daraz and amazon.

parthmaheshwari/emerging-sectors-forecast

Forecasting Private Capital Market using published research and patents. Project developed at Michigan State University under the guidance of Dr. Mohammed Ghassemi for JP Morgan Chase.

vioxcd/hackernews-topic-modeling

A content-based recommendation system for Hacker News using topic modeling (BERTopic)

AndrewDarnall/TAP_Project

A topic modeling pipeline using the BERTopic model and state-of-the-art technologies

Jonadler1/Topic-Modeling-Techniques-

NLP Topic Modeling Techniques (LDA, LSA & BERTopic)

Nadav-Nesher/entity_aspect_analysis

Aspect Based Sentiment Analysis (ABSA) of Customer Reviews

putuwaw/sentom

Topic Modeling from Sentiment using BERTopic, Streamlit, and Snowflake

UlisesHdzG/Hierarchical-topic-modeling-on-financial-docs

Hierarchical Topic Modeling

yarakyrychenko/boardtopic

BoardTopic is a friendly way to understand your big data. BoardTopic uses state-of-the-art frameworks for topic modeling (BERTopic) and language models to help you analyze and makes sense of your data, no coding required.

alifnuryana/topic-modeling-scientific-paper

Topic Modeling of scientific papers using BERTopic.

bjpietrzak/short_and_sweet

Summarize App Reviews with NLP

cristinaa211/Tweets-Topic-Labelling

This projects contains a nlp pipeline for topic labelling with BERTopic

Ibrahim-Benkhedda/Meta-Quest-2-Sentiment-and-Topic-Analysis

This study aims to analyze the sentiment and identify the main topics discussed in Meta Quest 2 product reviews scraped from the Argos website

LukasRimkus/Analysing-Insomnia-Twitter-Data

This project involved analysing the collected dataset about people experiencing insomnia. This repository contains the code to construct a dataset using the Twitter API, then some data should be annotated with sentiments which is used for training transformer models. The data can be clustered into topics for further analysis with BERTopic.

mathewsrc/Topic-Modeling-Reclame-Aqui

Comparison of Topic Modeling Approaches on Complaints Related to the E-Commerce Industry

MohrezSheikh/Transformer-Based-Topic-Modeling-and-Sentiment-Analysis

Use Siebert and BERTopic Model on Persian Dataset

recmera/transformers-news-analysis

Tool that allows characterizing territorial issues through news processing. It performs topic clustering, sentiment analysis, and data analysis using BERTopic & ChatGPT.

sdarjunwadkar/Identifying-the-Communication-Intent-in-Cancer-Sub-Reddit

Understanding cancer's impact is vital for mental and physical health. Communities like r/cancer offer crucial support, sharing experiences and information, transcending boundaries to empower those affected, fostering unity amid life-altering diagnoses.

tomthe/hackmap

Hackmap

wfkhrrzi/UiTM-ORM-Dashboard

A data visualization dashboard powered by Dash framework & Python for Higher Education Institution (HEI) Online Reputation System (Final Year Project)

elziya/news_topic_modeling