A small NLP SAAS project that summarize a webpage

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Horae is a graph stream summarization structure for efficient temporal range queries. Horae can deal with temporal queries with arbitrary and elastic range while guaranteeing one-sided and controllable errors. More to the point, Horae provides a worst query time of O(log L), where L is the length of query range. Hoare leverages multi-layer stora…

Personalized knowledge graph summarization based on historical queries

Code for WWW 2023 paper "HISum: Hyperbolic Interaction Model for Extractive Multi-Document Summarization".

Code for CIKM 2022 paper "A Preliminary Exploration of Extractive Multi-Document Summarization in Hyperbolic Space".

Automatic Extractive Text Summarization using TF-IDF Frequency Analysis. This is a Node.js web application using Express.js on the server side.

A lightweight Extractive Summarization Formulation for the CNN Dataset

A good performing digital news portal for the new generation.

Summarization Attack via Paraphrasing

In deep learning NLP, using a model we are trying to summarization the text.

[EMNLP 2022] Salience Allocation as Guidance for Abstractive Summarization

Report for INFO4900 Independent Research under Prof. Dawn Schrader. Surveyed bias detection and mitigation methods in language models. Identified emerging Language Model tasks where existing mechanisms fail. Designed a novel fairness test and proposed a framework to update large language models when what society considers fair changes.

This is the sixth and final project I completed as part of the Introduction to Natural Language Processing Module from my post-graduate certification in AI/ Machine Learning from University of Texas' McCombs School of Business.

Specific-Aspect Summarization on News According to Social Sentiments on Twitter

Final Year Project

Automatic Extractive Text Summarization Algorithm

A scalable framework for summarizing multi-turn chatbot conversations using Amazon Bedrock, SageMaker, Amazon S3, and Amazon Redshift with built-in PII sanitization, language detection, sentiment analysis, and production-ready data pipelines.

Extractive Text Summarization using T5 model