Sentiment Analysis of a Twitter Topic with Spark Structured Streaming
Analyzing yelp dataset ==> https://www.yelp.com/dataset_challenge
Analyzing yelp dataset ==> https://www.yelp.com/dataset_challenge
Automated IRC client which can connect to Twitch chat and analyse the current sentiment and dominant emotions in real-time.
A unique sentiment analysis model on IMDB reviews with custom negation handling. Instead of generic preprocessing, it smartly tags words after negators like "not" (e.g., "not good" → "not_good"), preserving sentiment context. Comparison of models with and without this logic shows improved accuracy and real-world reliability.
Developed a Python program that scrapes tweets off Twitter using twint, based on the user’s input and exports the data as CSV. Extracted and analyzed sentiments using Afinn to examine how positive or negative the tweets are, using Matplotlib to display them on a pie chart.+more
Experiments with web crawling, scraping, and indexing a collection of web documents. Clustering the indexed data with k-means algorithm. Each resulting cluster is assigned a sentiment score using AFINN - a sentiment analysis script.
Twitter semisupervised sentiment analysis with AFINN
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