Question: information. The preprocessed text is then transformed into a feature - rich representation using a chosen vectorization method for further use in the application to

information. The preprocessed text is then transformed into a feature

-

rich representation using a chosen vectorization method for further use in the application to perform similarity analysis.

Part I

Sentence cmpletion using N

-

gram:

Recommend the top

3

words to complete the given sentence using

N -

gram language model. The goal is to demonstrate the relevance of recommended words based on the occurrence of Trigram within the corpus. Use all the instances in the dataset as a training corpus.

Test Sentence: disappointed, and unsatisfied.

Part II

Perform the below sequential tasks on the given dataset.

)

Text Preprocessing:

(2

Marks

)

Tokenization

Lowercasing

Stop Words Removal

information. The preprocessed text is then transformed into a feature-rich representation

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