NLP Analytics
Sentiment, topics, entities, keywords, summarization, clustering, and reliability — 29 methods.
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29 text-analysis methods organized into eight groups. Run them on any text column or uploaded corpus, with leak-safe AI interpretation.
- Sentiment & emotion: rule-based (VADER) and transformer-based (multilingual)
- Topics: LDA, NMF, BERTopic with an interactive topic explorer
- Entities & keywords: NER (spaCy + custom), keyword/keyphrase extraction
- Embeddings & clustering: sentence-transformers, UMAP, document clustering
- Summarization and text classification (zero-shot and fine-tuned)
- Text statistics and inter-coder reliability metrics