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Step 14: Double-click the Data Table icon to see the outcomes of the sentiment.

Step 15: Drag the Corpus Viewer again and join it with the Sentiment Analysis to see the review and sentiment
based on the selected feature.

K Keyey TTermserms

u Natural Language Processing (NLP)
NLP is a domain of Artificial Intelligence that aims to enable computers to understand, interpret, and
respond to natural language, fostering human-like comprehension.
u Chatbots

Chatbots are conversational agents leveraging NLP for human-like interactions such as assisting in answering
customer queries and facilitating transactions.

u Syntax
Syntax refers to the structure of the text according to the rules of the language, whether natural or computer.
u Semantics
Semantics describe the meaning of words, phrases, sentences, and paragraphs in the text with reference
to the context of the text.
u Pragmatics
Pragmatism describes the interpretation of language’s intended meaning, not the one conveyed literally
by the words or phrases.
u Bag of Words (BoW)

The BOW algorithm creates a vocabulary of unique words in a corpus and generates document vectors
based on the frequency of words in each document.
u TFIDF (Term Frequency-Inverse Document Frequency)

TFIDF is a statistical measure that evaluates the importance of words in a corpus.
u Sentiment Analysis
The process of interpreting and classifying emotions within text data is known as Sentiment Analysis.
u Lexicon

Lexicon refers to a comprehensive collection of words and phrases that are utilised within a language or a
given text.

u Text Normalisation
Text Normalisation is the process of transforming text into a standard form to reduce its complexity for
improving the accuracy and efficiency of NLP models.
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