Uses linguistic models and deep learning to process and understand human language. Given a number of review texts, finding the target entities from the text and summarize what users focus on. Identifies the aspects from given target entities and the sentiment expressed towards each aspect.
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We present a natural language interface to databases, which allows non-technical users to query database without having to learn database language. The system uses NLP to parse input English language into some intermediate representation...
How to analysis sentiment of text. To analysis the review of customers or competitive products. We have to extract the sentiment in the reviews, which is the most challenge problem in natural language problems. We need cut the texts into part of speech tag...
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