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

A comprehensive toolkit for analyzing text data using various AI and NLP techniques, including topic modeling, sentiment analysis, and text classification, demonstrated on the 20 Newsgroups dataset.

NLP

SLS : Neural Information Retrieval(IR)-based Semantic Search model

Official source codes for implementing "Quantitative Topic Analysis of Materials Science Literature Using Natural Language Processing"

TopicGPT allows to integrate the benefits of LLMs into Topic Modelling

TopicGPT allows to integrate the benefits of LLMs into Topic Modelling

Text Clustering 文本聚类

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

heuristic matching of large databases by fuzzy criteria like addresses

Unsupervised learning. My Natural Language Processing project on Topic Extraction and Text Clustering.

Developing Natural Language Processing tools to enhance Learning Analytics. Creating an automated dashboard that diagnoses strengths and weaknesses from educational data.

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

Learned techniques and tools for Web Mining and Natural Language Processing: BeautifulSoup, Selenium, Regular Expression, Text Classification, Text Clustering

Text clustering, an unsupervised ML technique in NLP, groups similar texts based on content. Techniques like hierarchical, k-means, or density-based clustering categorize unstructured data, unveiling insights and patterns in diverse datasets. This exploration was part of the NLP course in my University of Ottawa master's program in 2023.

Movie Synopsis Text Clustering using K-Means Clustering and TF-IDF Vectorizer and deployment using framework Flask

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

Text analytics projects using NLTK, Scikit-learn and others

This project offers advanced techniques in text preprocessing, word embeddings, and text classification. Explore methods like Word2Vec and GloVe, and master Multinomial Naive Bayes for accurate predictions. Dive into the world of text clustering and conquer challenges like unbalanced data.