Java Version: JDK 21.0.1

📚 Project Overview:

This Java-based application is designed for analysing sentiments expressed in tweets using virtual threads to handle large volumes of tweet data efficiently. The application allows a user to choose one or more lexicons to assess whether the overall sentiment in a tweet is positive, negative, or neutral.

⬇️ Download and Setup:

• Obtain the project's zip file and extract its contents to a desired location.
• Open a terminal or command prompt.
• Navigate to the project's src folder.
• Compile the Java files using the command: javac ie/atu/sw/*.java
• Run the application: java ie.atu.sw.Runner (from the src directory).

If running as a JAR file:

• In the terminal, navigate to the project folder and run: java -jar SentimentAnalysisWithVirtualThreads.jar

✅ Key Features

• Concurrent Processing: Uses Java virtual threads to process tweets and lexicons simultaneously and quickly.
• Custom File Paths: Users can set their own paths for tweets, lexicons, and output.
• Lexicon Analysis: Uses different lexicons to accurately score sentiments to determine if a tweet has a positive, negative or neutral undertone.
• Easy-to-Use Interface: Simple console-based interface for smooth user interaction
• Output Management: Saves analysis results in a user-created output directory.
• Error Handling: Effectively manages file reading/writing and checks valid paths.

➕ Additional Functions

• Instant Report: Provides immediate sentiment analysis results for each tweet.
• Parsing a single text file or a whole directory: Users have the option of using a single text file or a whole directory of lexicons and tweets.
• In-Depth Sentiment Details: Analyses and reports the overall sentiment of tweets.
• Simple Options Menu: Users can simply view their saved settings.
• Handles Large Data: Efficiently processes large volumes of tweets and lexicons.
• Data Accuracy: Ensures tweet data is processed correctly and consistently.