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【Python Machine Learning】Part of NLP application

Natural Language ProcessingThere are many applications in reality, and the following table is some examples:

application Example 1 Example 2 Example 3
search web document Automatic completion
edit spell grammar style
dialogue Chatbot assistant Itinerary
writing index Term Index Table of contents
e-mail Spam filtering Classification Priority sorting
Text mining summary Knowledge extraction Medical diagnosis
law Legal case determination Precedent Search Subpoena classification
news Event search Truth verification Title typing
Attribution Plagiarism detection Text evidence collection Style guidance
Sentiment Analysis Team morale monitoring Product Review Category Customer Care
Behavior prediction finance Election forecast marketing
creation Movie script Poetry lyrics

If the meaning of natural language text is considered when indexing web pages or document libraries, thenSearch EngineMore meaningful results can be provided.Automatic completionFunctions use NLP technology to complete the input of the desired statement, which is very common in search engines and mobile keyboards. Many word processors, browser plug-ins, and text editors have functions such as spelling correction, grammar checking, index generation, etc. In recent years, the function of writing style guidance has also appeared. Some conversation engines (chatbots) use natural language searches to find corresponding replies for conversation messages.

existChatbotand virtual assistants to generate text NLPassembly lineNot only can it be used to write short replies, but it can also write much longer text paragraphs.

NLPThe system can not only generate simple social network posts, but it can also be used to write long movie reviews and product reviews on Amazon and other websites.

The NLP system can also serve as a "customer service" or "assistant" of the enterprise.