DataAgent: Evaluating Large Language Models' Ability to Answer Zero-Shot, Natural Language Queries

no code implementations • 29 Mar 2024 • Manit Mishra, Abderrahman Braham, Charles Marsom, Bryan Chung, Gavin Griffin, Dakshesh Sidnerlikar, Chatanya Sarin, Arjun Rajaram

Conventional processes for analyzing datasets and extracting meaningful information are often time-consuming and laborious.

Code Generation Natural Language Queries +1

Bidirectional Encoder Representations from Transformers (BERT): A sentiment analysis odyssey

no code implementations • 2 Jul 2020 • Shivaji Alaparthi, Manit Mishra

The purpose of the study is to investigate the relative effectiveness of four different sentiment analysis techniques: (1) unsupervised lexicon-based model using Sent WordNet; (2) traditional supervised machine learning model using logistic regression; (3) supervised deep learning model using Long Short-Term Memory (LSTM); and, (4) advanced supervised deep learning models using Bidirectional Encoder Representations from Transformers (BERT).

regression Sentiment Analysis +1