MEDICAL TRANSCRIPTION INSTITUTE IN CALICUT
NATURAL LANGUAGE PROCESSING
The application of computational techniques to the analysis and synthesis of natural language and speech. In natural language processing, human language is separated into fragments so that the grammatical structure of sentences and the meaning of words can be analyzed and understood in context. This helps computers read and understand spoken or written text in the same way as humans.
NATURAL LANGUAGE PROCESSING
- Email filters : Email filters are one of the most basic and initial applications of NLP online. It started out with spam filters, uncovering certain words or phrases that signal a spam message. But filtering has upgraded, just like early adaptations of NLP. One of the more prevalent, newer applications of NLP is found in Gmail's email classification. The system recognizes if emails belong in one of three categories (primary, social, or promotions) based on their contents. For all Gmail users, this keeps your inbox to a manageable size with important, relevant emails you wish to review and respond to quickly.
- Smart assistant : Smart assistants like Apple’s Siri and Amazon’s Alexa recognize patterns in speech thanks to voice recognition, then infer meaning and provide a useful response
- Search results : earch engines use NLP to surface relevant results based on similar search behaviors or user intent so the average person finds what they need without being a search-term wizard. For example, Google not only predicts what popular searches may apply to your query as you start typing, but it looks at the whole picture and recognizes what you’re trying to say rather than the exact search words.
- Pridictive text :Things like autocorrect, autocomplete, and predictive text are so commonplace on our smartphones that we take them for granted. Autocomplete and predictive text are similar to search engines in that they predict things to say based on what you type, finishing the word or suggesting a relevant one.
- Laguage tranlations : One of the tell-tale signs of cheating on your Spanish homework is that grammatically, it’s a mess. Many languages don’t allow for straight translation and have different orders for sentence structure, which translation services used to overlook.
- Digital phone calls : We all hear “this call may be recorded for training purposes,” but rarely do we wonder what that entails. Turns out, these recordings may be used for training purposes, if a customer is aggrieved, but most of the time, they go into the database for an NLP system to learn from and improve in the future.
- Data analysis : Natural language capabilities are being integrated into data analysis workflows as more BI vendors offer a natural language interface to data visualizations. One example is smarter visual encodings, offering up the best visualization for the right task based on the semantics of the data.
- Text analytics : Text analytics converts unstructured text data into meaningful data for analysis using different linguistic, statistical, and machine learning techniques. While sentiment analysis sounds daunting to brands--especially if they have a large customer base--a tool using NLP will typically scour customer interactions, such as social media comments or reviews, or even brand name mentions to see what’s being said.
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