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A unique sentiment analysis library with paraphrasing, contextual similarity, and speech output.
HumanTone is a powerful and intuitive Natural Language Processing (NLP) library designed to enhance human-like text processing and interaction. It integrates advanced sentiment analysis, intelligent text paraphrasing, semantic similarity detection, and natural speech synthesis, making it an all-in-one solution for text-based AI applications.
â Sentiment Analysis â Accurately determines the emotional tone of a given text (Positive, Negative, Neutral) with confidence scores. * â Paraphrasing â Generates high-quality paraphrases while maintaining semantic meaning, improving text diversity and readability. * â Text Similarity Detection â Compares sentences for semantic similarity, aiding in duplicate detection, question-answering, and recommendation systems. * â Speech Synthesis â Converts text into natural-sounding speech using text-to-speech (TTS) technology.
HumanTone is ideal for chatbots, content generation, virtual assistants, and AI-driven conversations, helping developers create more natural and engaging user experiences. Designed for ease of use, it ensures seamless integration into Python projects.
pip install git+https://github.com/yourgithub/humanlike_sentiment.git
*** Usage Example:
from HumanTone import HumanToneParaphraser, analyze_sentiment, HumanToneSimilarity, speak
paraphraser = HumanToneParaphraser()
print(paraphraser.paraphrase("The weather is nice today."))
print(analyze_sentiment("I love programming!"))
print(HumanToneSimilarity.analyze_similarity("The sun is shining", "It's a sunny day"))
speak("Welcome to HumanTone!")
FAQs
A unique sentiment analysis library with paraphrasing, contextual similarity, and speech output.
We found that HumanTone demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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