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This project uses BERT(Bidirectional Encoder Representations from Transformers) for Yelp-5 fine-grained sentiment analysis. It also explores various custom loss functions for regression based approaches of fine-grained sentiment analysis.
An easy-to-use sentiment analysis tool using TextBlob and a custom GUI. Quickly assess text sentiment as positive, negative, or neutral. Ideal for social media monitoring, customer feedback analysis, and content moderation. Open-source under the MIT License.
Sentiment Analysis CLI Tool to analyze text files. Based on the "siebert/sentiment-roberta-large-english" model. Prints out whether text content is "positive" or "negative". (👍🏼 or 👎🏼)
Hey! World this repo deals with sentiment analysis using python. Given some synthetic (fake, semi-randomly generated) twitter data in a CSV file named project_twitter_data.csv which has the text of a tweet, the number of retweets of that tweet, and the number of replies to that tweet. Also given words that express positive sentiment and negative…
This repository contains community detection and sentiment analysis created in the sentiment analysis part of the web intelligence (Software, MSc.) course at AAU.