5 Text Analysis Tools Utilizing Deep Learning for NLP Enthusiasts
Uses machine learning to uncover insights and relationships in text, identifying language, key phrases, sentiments, and organizing files by topic.
Amazon Comprehend
Extracts info from text and videos, offering sentiment analysis, entity recognition, and content classification, aiding in user experiences and multilingual insights.
Google Cloud Natural Language
Facebook's PyTorch-based framework simplifies NLP experiments, supporting document classification, sequence tagging, and more, with pre-built models.
PyText
IBM's service extracts insights from text complexities, analyzing sentiments, concepts, and entities, and supports custom models via Watson Knowledge Studio.
Watson NLU
An open-sourced parser for English, developed by Google using TensorFlow. It excels in part-of-speech tagging, dependency parsing, and sentence compression, based on a globally normalized transition-based neural network model.