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With examples of NLP dating back to 1950 its been used for real-world applications like the ones I will discuss here as well as part of solving a larger issue at hand.
Example of natural language processing. Natural language processing NLP has proven itself to be revolutionary technology. In this post Ill give you a very brief overview of what NLP is and some everyday examples. By bringing NLP into the workplace companies can tap into its powerful time-saving capabilities to give time back to their data teams.
The creation of Carlos Pereira a father who developed the app to help his non-verbal daughter who has cerebral palsy communicate the customizable app is now available in 25 languages. Natural Language Processing a branch of AI aims at primarily reducing the distance between the capabilities of a human and a machine. 9 Examples of Natural Language Processing John Spacey March 30 2016 updated on May 23 2017.
These smart assistants using voice recognition mechanisms infer meanings and then provide meaningfully and required information. Natural language processing NLP describes the interaction between human language and computers. Its applications are growing and helping to power other very useful technologies.
Natural language processing is also helpful in analysing large data streams quickly and efficiently. Top natural language processing examples businesses are employing. Arguably the best-known example of NLP smart assistants such as Siri Alexa and Cortana have become increasingly integrated into our lives.
If youve ever used a social media monitoring tool such as Hootsuite or Buffer these are basically built using NLP technology. This sees the algorithm of reading a document and placing it in the correct category. 5 Amazing Examples of Natural Language Processing.
A few examples of NLP that people use every day are. As little as a decade ago most people would have viewed the idea of machines understanding language as sci-fi-esque and futuristic. One example is smarter visual encodings offering up the best visualization for the right task based on the semantics of the data.
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