How does Hmong Sentiment Analysis work?
- Natural Language Processing (NLP). NLP techniques are employed to understand and process the Hmong language, enabling machines to interpret human languages and extract sentiment information from text.
- Machine Learning. Machine learning algorithms are trained on datasets of Hmong text to classify sentiment and improve accuracy in sentiment detection over time.
- Lexicon-based Approaches. This method utilizes predefined lists of words and phrases associated with positive, negative, or neutral sentiments to analyze text sentiment.
- Sentiment Scoring. Sentiment scoring assigns numerical values to the sentiment expressed in Hmong text, allowing for quantifiable analysis and comparison.