Here are two typical usage scenarios NLP interfaces and services.
(1) User command interpreting
Intelligent customer service to users (user interaction, solve user problems) on the premise that understanding the user's instructions, understand the language that is the meaning expressed by the user (semantics). In this case, use lexical analysis interface, comprising intelligent word (basic words and phrases), speech tagging, named entity recognition three functions , with which the text interface service expressed by the user pretreatment. Specifically, the service to smart segmentation and POS tagging based, first of all recognize basic words in the text (word), then these terms to restructure, while the vocabulary after the reorganization speech tagging, and finally further identify named entities (proper noun recognition); by analyzing user voice or text commands key nouns, verbs, quantifiers, time, place names and accurate understanding of the meaning of a user's instruction, greatly enhance the user experience and user satisfaction for intelligent customer service.
(2) News personalized recommendations
Syndication current era, users have the habit of reading news gradually shifted from a mobile phone App web client, and are increasingly turning to personalized content recommendation function News App of the class. Read personalized news and information is the general trend, there is help behind this natural language processing technology.
For news category App , you can use lexical analysis (intelligent segmentation, POS tagging, named entity recognition) and text classification interfaces . First massive news content type automatic classification, text classification to obtain a theme, or even secondary classification, labeling and theme vocabulary; then combined with user-portrait, the different information content recommended to the attention of the users of the topic, and ultimately thousands of thousand faces, precise personalized recommendation effect, each user sees after opening the App are most interested in their own news and information, the user's reading experience has been improved significantly.
For example: Tencent news, headlines today, a little information, Baidu news, headlines and other interesting news App
[Link] Quick Experience
Tencent cloud natural language processing API documentation: https://cloud.tencent.com/document/product/271/35484