It is not easy to analyze natural languages, which are the words people use in everyday life, , with a computer. Because natural language has a different meaning depending on the sense of speech, the nuance of speech, or the context of the conversation.
However, the AI which has been trained by the accumulated text data and labeled data by people can analyze natural languages more efficiently.
Sentiment analysis is the process of deriving subjective information such as opinions, emotions, evaluations, and attitudes contained in the contents of text data. It judges whether the overall attitude expressed in the text is positive or negative, and indicate how accurate this result is as a percentage.
Data | Data type | Content | Use mode |
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Input data | CSV | Text data for sentiment analysis (customer feedback such as comments, reviews, etc.) | API |
Output data | CSV | Determining whether the contents of the text are positive or negative | API |
Payment | Subscription method | Attached file upon application |
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Prepaid charge | Online | - |
Application procedure |
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Category | Price |
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API Setting | $1,800 ~ |
API Predicting | $0.002/row |