Iphone13_Reviews_Sentiment_Reviews_NLP

This repository contains the sentiment analysis of reviews of Iphone13 on Amazon using VADER model.

Sentiment analysis is an approach to natural language processing (NLP) that identifies the emotional tone behind a body of text. This is a popular way for organizations to determine and categorize opinions about a product, service, or idea and improve their buisness model thereof.

Table of Contents

1. Reading and Exploring the data
2. Data Pre-Processing
3. Explanatory Data Analysis
   • Data Visualization
4. Sentiment Analysis
   • Cleaning the text
   • Tokenization
   • StopWords
   • Stemming
   • Lemmantizing
   • VADER Model
     • Overall sentiment
     • Categorical sentiment score

Data

The data for this project has been extracted using web scrapping framework performed on Amazon.in for Iphone 13 with 128gb storage variant. The dataset contains reviews from 801 customers along with the following features:

• Customer Name
• Rating
• Headline
• Date
• Variant
• Product Link
• Reviews
• Upvote

Insights

Most customers have given a 5-star rating. This confirms the user-friendly and satisfactory performance of Iphone13.

We observed that most reviews were given in the month of May. Moreover, there are relatively lesser reviews during the third and fourth quater of the year. A possible explanation for this fact can be the price-sensitive behaviour of the customers. Mostly, in the month of September, Apple releases the new variant of Iphone and the price remains undiscounted for few following months.

Overall sentimeent and categorized sentiment scores:

The overall sentiment of reviews stands at Neutral The categorized sentiment scores are:

• Positive: 311.37
• Negative: 33.74
• Neutral: 380.91