Think about what it would be like to program a computer that could learn and use human language. NLP helps computers understand us. It is giving computers superpowers to understand what are we saying or writing. This requires the computer to learn how to effectively split words and sentences. When the bits are in a form that the computer can ‘understand’, it has to use these components (bits) as guidelines to recreate what you see on screen.
Text Processing Introductory — Text to Bits
Imagine you were to take a bunch of words and boil them down into something that can be understood by the computer. That is the text process.
What Is The Term For The Techniques Used To Break Down Text Or Speech For Classification In NLP? It tokenizes the text words for reference slots. This is like individual words in a word. Next, remove any stop words (words that do not add meaning to the text like “the” or “and”) and normalize all case variations such as changing “running” with “run”.
Then we teach the computer how to take it from there. This will enable the computer to get an understanding of, what word is a noun, verb, or adjective.
Finally, the computer can start to “understand” text. Whether it is a name, location, or an entity — Find can look for anything essential. It’s like highlighting what is important in a nugget of information that has light on it.
That makes ways computers understand human language how they can it. Getting a computer to have X-ray vision!
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