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Have you ever wondered how computers understand what we say or write?
Thats where Natural Language Understanding (NLU) comes in.
It helps computers understand the real meaning behind our words.
Lets dive into the world of NLU!
What Is Natural Language Understanding?
Lets find out how theyre different.
Lets simplify and break down these steps for better understanding.
The primary goal is to facilitate meaningful conversations between a voicebot and a human.
It involves understanding and responding to user requests within the context of the ongoing conversation.
Assigning grammatical categories (e.g., nouns, verbs, adjectives) to each token.
Therefore, do not misunderstand it as a different concept.
However, can machines understand directly what the user meant even after comprehending tokenization and part of speech?
To achieve that, we need to understand our next step.
Compositional semantics involves grouping sentences and understanding their collective meaning.
Using previous linguistic knowledge, NLU attempts to decipher the meaning of combined sentences.
Identifying and classifying entities (e.g., names of people, organizations, locations) in the text.
Ex-Recognizing Sanket as an entity, classifying it as a person.
Identifying the roles of words or phrases in a sentence with respect to a specific verb.
It involves studying the meaning of each word and deriving the meaning of individual words from sentences.
The system then individually focuses on the meaning of each word, deriving their semantic significance.
In this step, the focus is on semantic meaning and identifying different words with the same meaning.
Determining the emotional tone or sentiment expressed in the text.
Ex-Analyzing the sentiment of the sentence I love this product as positive.
Identifying when different words or expressions refer to the same entity.
Ex-Resolving that He in one sentence refers to the same person as Sanket in another sentence.
It allows search engines to better interpret the users intent behind the search query.
It helps categorize emails based on their content, ensuring that they are organized and easily accessible to users.
