Twitter Sentiment Analysis With PySpark
Sentiment analysis of 1.6M tweets using PySpark. Implemented a pipeline to extract features and train models to classify tweets into positive, neutral, and negative polarities. Evaluated the performance of selected algorithms.
04 Jun 2023
Keywords
Twitter
Sentiment Analysis
PySpark
Data Modelling
Data Pipeline
ETL
Spark
Statistical Analysis
Statistical Modelling
EDA
Data Visulaization
