Natural Language Processing Used in Mobile Applications

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• NLP (Natural Language Processing) is the subfield
  of AI (Artificial Intelligence) which interprets
  the interaction between the computer and the
  human language. It involves reading,
  understanding, and making sense and value of the
  human language.
• Here are the types of applications making use of
  NLP

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Text Prediction

• Text prediction refers to predicting which word
  would come next or fits best in a particular
  sentence. Various applications such as Google
  Search, Gmail Compose, Google Docs, etc. use the
  NLP technology for the purpose of text
  prediction.

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Sentiment Analysis

• Sentiment analysis is referred to investigating
  what emotions are being expressed in a particular
  data. The use of NLP in sentiment analysis allows
  businesses in examining what a customer feels
  about their brand, products/services, etc.

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Classifying Text

• Data in its unstructured form is available
  everywhere. The NLP text classification can be
  used to structurize data in an appropriate
  arrangement. Areas using the NLP text
  classification discussion forums, eCommerce, etc.

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Speech Recognition

• Natural Language Processing has become the
  primary reason behind the Voice User Interface.
  It introduced the voice to provide the system
  with the inputs. Siri, Alexa, Google Assistant,
  and Cortana are the most excellent examples of
  speech recognition using NLP.

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Spell Checker

• A spell checker can be considered as a software
  that identifies the spelling errors or typos in a
  particular text and corrects them. The use of NLP
  in spell checkers avoids the possibility of
  making typos in the text.

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