(i) Affective analysis-application scenario-business value _nlp-affective analysis

Microblogging, forums, shopping sites, and so on, there are a lot of user generated data (such as: their own feelings and comments on others), according to the data format can be divided into: text, voice, expression, picture. According to the subjective and objective can be divided into: subjective data and objective data. Objective data mainly refers to the objective description of the characters, things and events, with a lighter emotional inclination. The subjective data expresses the author's opinion, opinion, attitude, evaluation, stand, etc. with a strong emotional inclination. For these data, we can use the emotion analysis technology to analyze it, can develop a lot of valuable application.

Ordinal application Scenario

Description 1

Analysis of commodity reviews

Can understand the customer satisfaction to the goods, and then formulate a good marketing strategy 2

Commentary analysis of a movie or TV series

Understand the user's emotions on the program, and then set a good plot and online time 3

Analysis on the orientation of mass public opinion

Government departments can understand the emotional tendencies of popular events, master the direction of public opinion, so that more timely and effective monitoring of people's opinion, but also to formulate relevant policies to provide support. 4

Emotional analysis of the characters

Through the content of a person published, to understand his mood changes, which emotion, which mood is less, and then can analyze his character, in addition, but also to understand what he encountered in the mood fluctuations and so on. 5

Analysis of the relationship between people

Through their mutual comments on the feelings expressed, you can understand their relationship, such as: the relationship between men and women and friends. 6

Comparison and analysis of products

For example, for a variety of automotive brand reviews for analysis and comparison, can help businesses understand these products in the hearts of users differences, but also can help users choose a good car products. 7

A predictive analysis of an event

Through the user's comments on the incident, you can predict the relevant information, such as: Movie box office, Oscar winners and so on. 8

An analysis of the public's preference for a particular person

For example, the analysis of a star's comments, you can understand how popular people like the Star

In short, affective analysis has a large number of application scenarios, for market research, provides a useful tool.

PS: Later found that the emotional analysis of the application scenario will continue to append, and we share, if you have a good application scene, you can in the comments and I said, I am in the append, thank you.