natural language processing technology is used a lot now, many people still don’t understand this technology very much. Let’s take a look at the specific use of this technology, and maybe you will understand it.
1, chatbot
customer service and experience are the most important things for any company. It can help companies improve their products and keep customers satisfied. However, manually interacting with each customer and solving problems can be a tedious task. This is where the chatbot appears. Chatbots help companies achieve smooth customer experience goals.
Nowadays, many companies use chatbots for their applications and websites, solving basic queries for customers. This not only makes the company's process easier, but also saves customers from the hassle of waiting to interact with customer call assistance.
2, Q&A system
Q&A system (QA) is a system that can automatically answer questions raised by humans in natural language. Here are some real Q&A apps: Siri, OK Google , chat boxes and virtual assistants.
understands voice only half of it, and the other is naturally to give responses and answers.
3, word meaning similarity
is used to calculate the semantic similarity of two given words, based on the distribution assumption in natural language, that is, the more often the similarity between words that appear together, the higher the similarity. Word meaning similarity is an important basic technology in natural language processing and one of the basis of common technologies such as proper name mining, query rewriting, and part-of-speech annotation.
Exclusive Name Mining - Find related words for words such as person names, place names, and institutional names through semantic correlation calculations between words, expand the dictionary of proprietary nouns, and better assist in the application.
Do you know all these?
