Natural Language Processing (NLP) is a technique of computational algorithms to understand natural languages. By using NLP, the machine can respond by text or voice. It is the part of Artificial Intelligence (AI) that works on understanding languages (i.e. by using text, images, voice, and/or videos). The voice assistance technologies like Alexa are one of the popular applications of NLP. In these applications, the audio-sensing devices are used to accept input from the user. The captured audio is converted into text using a text synthesizer, the text is processed using Natural Language Processing (NLP)-based algorithms to get command terms. The identified commands are provided to the upper applications to perform the required task. however, that is one of the initial applications of NLP that can be used for various other life-saving and social welfare applications too.
NLP combines different domains i.e. linguistics and machine learning. The goal is to be able to interpret and generate human language. This not only improves the efficiency of work but also helps in interacting with the machine. NLP bridges the gap between humans and machines. NLP-based techniques have a large variety of applications such as:
- Sentiment analysis: It is the application of machine learning and text processing to identify the emotions of the author into emotional labels like happy or sad.
- Speech recognition: The application senses the audio of humans and differentiates it from other sound signals. In addition, recognize the meaningful information from the audio signals.
- Chatbots: In several online services, virtual assistance is an example of a live question-answering system.
- Text classification: In online business, NLP-based applications are used to classify the review text into positive or negative reviews.
The above-given applications also involve machine learning techniques to deal with the text classification and categorization process. In addition, the appropriate data is required to train the application on a specific problem.