Description: In this assignment, you are going to write a python program to read and tokenize the data. The following is the training data format where the first column is the reviewer id, the second column indicates whether this review is fake or true, the third column represents whether the review is positive or negative, and the rest is the review. Your task is to learn whether the review is fake or true and positive or negative based on the review. Input Data
The input data for this assignment is a dataset in a specific format. The format includes four columns: reviewer id, review authenticity, review sentiment, and the review text itself.
The first column, “reviewer id,” represents the unique identifier of the reviewer who wrote the review. Each review has a different reviewer id.
The second column, “review authenticity,” indicates whether the review is fake or true. If the value in this column is “fake,” it means that the review is not genuine and was written with the intention to deceive. If the value is “true,” it means that the review is genuine and written by a real customer.
The third column, “review sentiment,” represents whether the review is positive or negative. If the value in this column is “positive,” it means that the reviewer had a positive sentiment towards the product or service they are reviewing. If the value is “negative,” it means that the reviewer had a negative sentiment.
The rest of the columns contain the actual review texts. These texts provide details and opinions about the product or service being reviewed.
Your task for this assignment is to develop a Python program to read and tokenize this data. Tokenization refers to the process of breaking down the text into individual words or tokens so that further analysis can be performed.
By reading and tokenizing the input data, you will be able to analyze the text and extract features that can help determine the authenticity and sentiment of the reviews.
To accomplish this task, you will need to use Python programming techniques to read the dataset, extract the relevant columns, and apply tokenization to the review texts. This program should be able to handle large datasets efficiently and accurately.
Once the data is tokenized, you can use various natural language processing techniques, such as sentiment analysis algorithms or machine learning models, to classify the reviews based on their authenticity and sentiment.
In summary, this assignment requires you to develop a Python program that reads and tokenizes a dataset containing review data. This program will serve as a foundation for further analysis, allowing you to determine the authenticity and sentiment of the reviews.