Simple Sentiment Analysis

$(40$ points$)$

Sentiment Analysis is a Big Data problem used to get the attitude or sentiment of the writer based

on their written text. For instance, when analyzing movie reviews, "The film was a breath of fresh

air" has a positive statement while $"$It made me want to poke out my eye balls" is negative.

One algorithm that we can use for this is to assign a numeric value to any given word based on

how positive or negative that word is and then score the statement based on the values of the

words. But, how do we come up with our word scores in the first place?

That's the problem that we'll solve in this assignment. In the attachments, you will see a data

file movieReviews.tsv which contains movie reviews from the Rotten Tomatoes website which

have both a numeric score as well as text. The data file has four columns $-$ phraselD,

sentencelD$,$ the phrase and a sentiment score.

Your goal is to write a JAVA program that reads the given data file and aggregate the review score

per sentence. You will need to create an instance of a class named ReviewEntry for each word in

the file and track the total score assigned to the sentence.

You will need to write a function that computes the average score for each sentence and assigns

the following meaning to a word based on the average score:

$0-2$ : negative

$2-3$: neutral

$3-4$: positive

$[$Part $1]$ Create a class called ReviewEntry which has the following elements: $($i$)$ a variable to track

the sentence ID$,($ii$)$ a variable to track the total score $($which is the sum of all scores assigned to

the sentence$)$ and $($iii$)$ a variable to track the number of phroses in the sentence. Create an array

of object instances of this class to account for each sentence in the file. You will have a total $8544$

elements in the array.

$[$Part $2]$ Use FilelO operations in JAVA to read each entry in the movieReviews.tsv file and update

the corresponding entry for the sentence. For example, you should update the object for

sentenceID $1$ with each corresponding entry in movieReviews.tsv

$[$Part $3]$ Once you finish loading the entries in the file, ask the user for a sentence ID as input and

print the statistics of the corresponding sentence in the following format:

Sentence ID $1$ has $15$ phrases with an average rating of $3\mathrm{.}5.$ The overall sentiment is positive.