It's the third homework of Natural Language Processing course in Spring 2024 at Sharif University of Technology. It's about sentiment analysis in the level of texts. And also in the level of words, we do NER (Name Entity Recognition). In each part we designed a base model (for example SVM or LSTM) and a tranformer model. Also we collected a dataset

DailyNewsDriftCanada is a tool designed to analyze the sentiment of news headlines from various Canadian media outlets over time.

Performs semantic text analysis on 20K TripAdvisor hotel reviews to categorize sentiment. Compares traditional ML (logistic regression, SVM) versus DL (LSTM embeddings + dense layers), achieving 85% validation accuracy. Data workflow includes exploratory analysis, cleaning, vectorization and modeling.

Hi, Greetings

FinTwit-Bot is a Discord bot designed to track and analyze financial markets by pulling data from platforms like Twitter, Reddit, and Binance. It features customizable tools for sentiment analysis, market trends, and portfolio tracking to help traders stay informed and make data-driven decisions.

AI-Integrated Community Outreach Management System with Sentiment Analysis and Automated E-Certificate Generation [Capstone]

Sentiment Analysis of Amazon Baby product reviews using Logistic Regression with Bag of words & n-grams.

A Python progamm that determines whether a stock has potential to increase its price based on Sentimental Analysis and recent stock patterns/growth.

🤖 That's a message sentiment analysis chat integrated with Meaning Cloud API.

Live Sentiment Analysis dashboard of NIFTY 500 universe of stocks using plotly and streamlit

Learning or Cheating? Reddit Insights on ChatGPT in Academia

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

AWS S3 & Sentiment Analysis, Basic Plotting with Matplotlib, & Supervised Learning & Machine Learning with Sklearn.

State of the Art Natural Language Processing

⚡ Model analisis sentimen machine learning based deployment

⚡ Analisis sentimen machine learning based dan ketidakseimbangan kelas pada dataset

This project extracts and analyzes textual data from given URLs using BeautifulSoup and NLTK. It performs sentiment analysis, word complexity assessment, and calculates average word length, saving results in text and CSV formats.

We use machine learning models to analyze people's opinions about GUVI from Twitter. Our document explains how we clean and prepare the data, create useful features, choose the best models, and improve our predictions. Learn how we make our sentiment analysis more accurate.

A mental health monitoring app we designed for the hackathon Prasunethon 2024.

A project to gauge the sentiments of Kenyans on the Monday Maandamano's in the country.