Sentiment Classifier

For Chinese text with subjective description, sentiment polarity type of this text will be automatically determined and corresponding confidence coefficient will be provided. Help the user understand user’s consumption habits, monitor public opinions and analyze hot topics and provides enterprises with powerful decision support

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Benefits

Rich Data
Rich data are from rich comment data in the e-commerce field. The user’s sentiment polarity is perfectly explored without adding any emotional vocabulary
High Precision
Based on big data and deep learning training, learn deep semantic expression and achieve high Sentiment Classifier precision
Transfer Learning
With the transfer learning method, the annotated data of some scenarios can be rapidly switched to a new emotional scenario

Features

Sentiment Polarity Type

Determine sentiment polarity type in texts and output corresponding confidence coefficient

Based on rich comment data of the e-commerce field, it is no need to add any emotional vocabulary. For Chinese text with subjective description, sentiment polarity type of this text will be automatically determined and corresponding confidence coefficient will be provided

Deep Learning Model of Sentiment Classifier

Based on big data and deep learning training, Sentiment Classifier can achieve high accuracy

Based on big data and deep learning training, Sentiment Classifier can achieve high accuracy and can be applied for sentiment polarity type extraction, Sentiment Classifier-aided decision, Sentiment Analysis, etc.

Scenarios

Emotion Interaction

Emotion Interaction Extract by types of sentiment polarity to improve user experiences

Sentiment Classifier

Sentiment Classifier Decision-making is assisted by commenting Sentiment Classifier

Sentiment Analysis

Sentiment Analysis Emotional tendency change of hot information can be controlled