Material for my VLDB'22 and BTW'23 tutorials on application for language models in data management
-
Updated
Jul 31, 2024 - HTML
Material for my VLDB'22 and BTW'23 tutorials on application for language models in data management
Space Model framework that allows for maintaining generalizability, and enhances the performance on the downstream task by utilizing task-specific context attribution. It is an external LLM layer, that improves accuracy in classification task for multiple datasets, such as HateXplain, IMDB movies reviews and more.
Fill-in-the-BERT uses pre-trained BERT Masked Language Model for Infering the task of fill in the blanks.
Disease detection from textual description. We created a dataset containing 24 disease and 50 manually written descriptions of the symptoms (in english) for each disease.
Topic Modelling using Transformers
Pro/Anti-vaxxers in Brazil: a temporal analysis of COVID vaccination stance in Twitter
Hey there! I'm SentimentScan, your go-to web app for understanding how people feel about Yelp restaurant reviews. I use the super-smart BERT model to quickly figure out if customers are happy or not. Trust me, I've got some serious NLP skills!
Kaggle Competition - Natural Language Processing with Disaster Tweets
A Case Study On The Rising Omicron Cases and Public Sentiment Analysis using Twitter Data
Speech Recognition is an important feature in several applications used such as home automation, artificial intelligence, etc. This article aims to provide an introduction on how to make use of the SpeechRecognition library of Python. This is useful as it can be used on micro controllers such as Raspberry Pis with the help of an external microph…
The main idea of this project is of Transfer Learning. Bert large 24 encoder Questions Answering model was fine tuned on specific task of Questions Answering. Currently for Demo purposes it is Hosted on free Heroku platform. Please take a moment to catch up the twisting idea.
Software based on flask, used to check the most similar texts out of a list.
Topic modelling of invoice data
AI-Driven Investment Insights by Financial Headline Sentiment Analysis
The project involves performing sentiment analysis on the reviews referring to the most talked about features of the phone.The reviews are scraped using python from amazon.Topic modelling is used to obtain the four most talked about features of the phone. Sentiment Analysis is performed on the reviews related to these features.Each of the review…
Real-time vulnerability detection for web3 smart contracts
A tiny NLP demo on how to summarize swedish texts using the BERT model from the National Library of Sweden.
A full-stack AI-powered web app for professors to design syllabi.
Flask application for sentiment detection using LLMs
Add a description, image, and links to the bert-model topic page so that developers can more easily learn about it.
To associate your repository with the bert-model topic, visit your repo's landing page and select "manage topics."