Sentiment Analysis Voice Assistant

Welcome to the Sentiment Analysis Voice Assistant project! This assistant uses speech recognition to take a spoken sentence as input and then performs sentiment analysis using both TextBlob and VaderSentiment. The analysis results are provided as verbal and printed feedback.

Features

• Speech Recognition: Uses Google's speech recognition to capture and understand spoken sentences.
• Sentiment Analysis: Performs sentiment analysis using both TextBlob and VaderSentiment, then averages the results for a final sentiment score.
• Voice Feedback: Provides the sentiment result through voice feedback using pyttsx3.

Installation

To use this project, you need to install the following libraries:

pip install vaderSentiment textblob numpy speechrecognition pyttsx3

Additionally, you need to install the necessary dependencies for pyttsx3 which vary depending on your operating system.

Usage

1. Run the script: Start the script to initiate the voice assistant.
2. Provide Input: The assistant will prompt you to provide a sentence for sentiment analysis.
3. Receive Output: The assistant will perform sentiment analysis on the input sentence and provide the result both verbally and in the console.

Example Commands

• Speak a sentence like: "I love programming!" or "I am feeling sad today."

How It Works

1. Initialization: The script initializes the text-to-speech engine and sets up the voice properties.
2. Listening: The takeCommand function listens for a sentence using the microphone.
3. Sentiment Analysis: The sentimentAnalysis function calculates the sentiment score using TextBlob and VaderSentiment, then averages the two scores.
4. Feedback: The sentiment result is spoken out loud and printed in the console.