curt-park/sentiment-analysis
Classify sentiment from text input. Return a sentiment label (e.g., positive or negative) and a confidence score for the...
Found 8 models (showing 1-8)
Classify sentiment from text input. Return a sentiment label (e.g., positive or negative) and a confidence score for the...
Classify a text string as POSITIVE or NEGATIVE sentiment using a BERT-based binary classifier. Input: text. Output: sent...
Classify Korean comments into positive, negative, or neutral and extract sentiment-specific keywords. Accepts a list of...
Analyze social media comments to cluster topics, summarize themes, and quantify sentiment. Takes a JSON file of comments...
Classify sentiment of text as positive, negative, or neutral. Accepts a text input and returns an overall sentiment labe...
Generates human-like text based on a given prompt, excelling in text generation, language understanding, and sentiment a...
Classify sentiment in text. Accepts a text string and returns sentiment labels—positive, neutral, negative—with confiden...
Classify sentiment of one or many texts and return positive/negative labels with confidence scores. Accepts a batch of t...