Scrape website content and extract topics

A Project on Temporal Topic Modeling

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

Aspect Based Sentiment Analysis (ABSA) of Customer Reviews

This projects contains a nlp pipeline for topic labelling with BERTopic

Data Science and Machine Learning projects

Adapted BERTopic pipeline for Topic Modeling the arXiv dataset

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.

Submission for CL4HEALTH @ LREC-COLING 2024

Code relating to work carried out during an internship at Sinch, consisting of an analysis of current topic modeling models.

Topic modeling for NYT articles.

Use Siebert and BERTopic Model on Persian Dataset

2023F-Machine Learning Term Project: Topic Modelling on Amazon Review

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

Topic modeling is a text mining technique in which an algorithm is applied to a large corpus of documents that identifies patterns of word co-occurrence. These patterns of word co-occurrence are conceptualized as “topics” which can be used to discover latent structures in the corpus, to group similar documents together.

LDA, BERTopic and bipartite network for topic modeling

Analysing customer reviews using unsupervised learning approaches via Topic Modelling

Exploring topic modeling techniques, sentiment analysis, and classification algorithms using the Kaggle dataset "Tripadvisor Reviews 2023"

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