NLP / Natural Language Processing

Text Analysis

Intelligent text data analysis using machine learning models

Text Analysis and NLP

Description

The model reads and understands text: identifies document topics, extracts names, dates, amounts and other key data, evaluates sentiment, and compares two texts for similarity or contradiction. Works with documents of any length.

Typical Tasks

  • Document classification by topic and type
  • Named entity extraction: names, dates, amounts, organizations
  • Text sentiment analysis and emotional tone evaluation
  • Semantic document comparison for similarity and contradictions
  • Automated summarization and key point extraction

Technologies

Transformer BERT SpaCy Natasha PyTorch Hugging Face FastText

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