19words into individual units called morphemes for easy analysis.· Word Segmentation: It is the technique of dividing the long continuous text into distinct units.· Part-of-speech Tagging: It entails identifying a part of speech for every word.· Parsing: NLP parsing undertakes the grammatical analysis of the sentence provided.· Sentence Breaking: It is the placing of sentence boundaries on a large piece of text.· Stemming: It entails cutting inflected words to their root form.Semantic AnalysisSemantic analysis is applying computer algorithms to understand the meaning and interpretation of words and how sentences are structured. The objective of semantic analysis is to analyze the meaning conveyed by the text.Techniques used for Semantic Analysis are:Named Entity Recognition (NER): It is the process of identifying parts of the text that can be categorized into preset groups.Word Sense Disambiguation: It entails giving meaning to a word based on the context.Natural Language Generation: It is the process of deriving semantic intentions using databases and converting them into human language.What is Natural Language Processing used for?Some common applications of Natural Language Processing are:· Applications such as Google Translate are used for language translation.· NLP is used for checking grammatical accuracy of texts in Word Processors such as Microsoft Word and Grammarly.· They are extensively used in call centers in Interactive Voice Response (IVR) applications to interact with users.· Applications such as Siri, Alexa, Ok Google, etc. These voice assistants use Natural Language Understanding (NLU). They digest the spoken text, understand and give relevant replies.Natural Language Processing has made it easier for humans to interact with machines and connected devices. Natural Language interface enables people to interact with any connected device or service in a human-like manner. Natural Language Interface is also known as conversational AI. It enables technology to understand complex sentences that may contain multiple requests or several pieces of information. It reacts based on the input command, creating value and enhancing user experience.According to Wikipedia, Natural Language Interface (LUI or NLUI) is a type of computer-human interface where linguistic phenomena such as verbs, phrases, clauses act as UI controls for creating, selecting, and modifying data in software applications.How does natural language interface work?LUI provides a natural human-like interaction with any application. It eliminates the need for the study of the special syntax of queries. It facilitates the detailed or precise description of the requested information.LUI transforms queries in natural language into Boolean queries. It expands them with different ways of combining and paraphrasing. It is also possible to customize LUI by expanding the original query with synonyms.Uses of Natural Language Interface:Ubiquity:It is an add-on for Mozilla Firefox. It is a collection of quick and simple natural language derived commands which enable users to get information and relate it to current and other web pages.Wolfram Alpha:It is an online service that offers answers to factual queries by computing answers from structured data, unlike a search engine which provides a list of web pages that might contain the answer to the query.Siri:It is an intelligent, personal assistant application that works with the operating system iOS. Siri leverages NLP to make recommendations and answer queries.The BottomlineBusinesses have so far been analyzing customer actions to devise their strategies. However, now there is a need to go beyond that and interpret customer sentiments to provide them a better experience. This is possible by leveraging appropriate technologies such as NLP to assess and evaluate customer sentiments from data sources such as social media and mobile data. Natural Language Processing has an important role in Data Science as it can extract valuable insights from text empowering businesses to leverage these insights for better customer experience. Varchasvi Shankar, President & CEO, V2Soft
< Page 9 | Page 11 >