With this app, you can easily extract tweets, analyze sentiment, and visualize trends and patterns in your data. Explore and discover new insights about your Twitter activity and the conversations that matter to you." This description highlights the main features and benefits of the app, and emphasizes its ability to help the user extract and anal

A sentiment annotated dataset in Swedish containing emojis.

Sentiment Analysis using different feature extraction techniques

How to Scrape Twitter Data for Sentiment Analysis with Python and Power BI

Financial news sentiment analysis is a method used to analyze the sentiment expressed in financial news articles, such as those published by news outlets, blogs, and social media platforms. The analysis involves using natural language processing techniques to identify the sentiment expressed in the text and categorize it as positive or negative

A web-app designed to help customer buy the best product

Analyzing 9801 tweets using Python's Tweepy library and VADER model for sentiment analysis. Results mapped to emotions ('happy,' 'curious,' 'neutral,' 'upset,' 'angry'). Insights gathered on popular discussions, famous accounts, hashtags, and tweet locations for a deeper understanding of user sentiments.

SenTrack App - Roberta Sentiment Analysis.

This project was run in DataBricks using spark to analyze the recent news in 'cancer' for sentiment evaluation. The goal of this project is to practice traditional NLP like tokenization, stopwords, CV and TF-IDF, N-grams. Also, this project applied tools like AWS S3, athena, QuickSight etc. to address big data.

I have done some sentiment analysis in python using two different techniques: VADER (Valence Aware Dictionary for Sentiment Reasoning) - Bag of words approach, Roberta Pretrained Model from 🤗 and Hugging-face Pipeline.

I scraped the lyrics from every Kurt Vile song available on Genius. I processed the lyrics and performed data and sentiment analysis.

Tweet sentiment Analysis using deep learning method and model deployment using Flask and Swagger

A Natural Language Processing Project which involves predicting the sentiment of movie reviews!

Aspect-based sentiment analysis (ABSA) algorithm to identify product review categories and corresponding sentiment for each category.

Perform sentimental analysis on the Elon-musk tweets and Extract reviews of any product from ecommerce website like amazon, Perform emotion mining.

In this project I have done Web Scraping and Sentiment Analysis of Food Reviews.

Sentiment Analysis on changing attitudes of Reddit users towards Chat GPT

sentiment analysis using textblob

Web Scraping and Sentiment Analysis of Tripadvisor using R

Analysis of tweets after the 7.8 and 7.7 magnitude earthquakes that occurred in Turkey on February 6, 2023.