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Natural Language Processing Used in Mobile Applications

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

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Natural Language Processing Used in Mobile Applications

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  1. 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

  2. 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. technology for the purpose of text prediction. use the NLP

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

  4. 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.

  5. Speech Recognition Natural 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. Language Processing has

  6. 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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