Sentiment analysis using the distilbert-base-uncased model using the movies dataset.
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Updated
Jul 21, 2024 - Jupyter Notebook
Sentiment analysis using the distilbert-base-uncased model using the movies dataset.
This paper describes Humor Analysis using Ensembles of Simple Transformers, the winning submission at the Humor Analysis based on Human Annotation (HAHA) task at IberLEF 2021.
The official repository for the PSYCHIC model
This repository contains my work on the prevention and anonymization of dox content on Twitter. It contains python code and demo of the proposed solution.
Deep learning for Natural Language Processing (FNNs, RNNs, BERT)
This project classifies Internet Hinglish memes using multimodal learning. It combines text and image analysis to categorize memes by sentiment and emotion, leveraging the Memotion 3.0 dataset.
A Deep Learning Based Voice Analytics toolkit
This app searches reddit posts and comments to determine if a product or service has a positive or negative sentiment and predicts top product mentions using Named Entity Recognition
Fine tuning pre-trained transformer models in TensorFlow and in PyTorch for question answering
Using BERT models to perform sentiment analysis on women's clothing
Analyzes emotions in text chunks per chapter using a sentiment analysis model, visualizing scores across chunks as line graphs. Includes pie charts showing dominant emotions per chapter, enhancing understanding of emotional variations in text chunks. Developed using Transformers library.
This project analyzes and compares the Wikipedia articles of Xi Jinping and Vladimir Putin over 20 years, uncovering differences in portrayal, sentiment, and biases to measure public perception of each leader.
Enterprise Prompt Injection Detection using DistilBERT, synthetic security data, and Hugging Face
E-mail spam detection using Transformer model.
Sentiment analysis using Transformers (DistilBERT) from Hugging Face.
Serri AI support bot
A reinforcement learning-based system designed to detect and prevent jailbreak attempts in AI models, ensuring safe and controlled model behavior under adversarial conditions.
Manning Live Project: Sentiment Analysis and Natural Language Processing for Marketing
A comprehensive AI-powered mental health tracking and wellness platform built with Streamlit and BERT-based emotion classification.
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