Problem Extractions and Sentiment Analysis of Amazon Product Reviews using Supervised Machine Learning Techniques

Today, Everything is sold online where many individuals can post reviews about various products in order to express their feedback. The buyer reviews serve as feedback for businesses in terms of performance, product quality, and seller service. This Project focused on buyer?s opinions based on Lapto

Project Title

Problem Extractions and Sentiment Analysis of Amazon Product Reviews using Supervised Machine Learning Techniques

Project Area of Specialization

Artificial Intelligence

Project Summary

Today, Everything is sold online where many individuals can post reviews about various products in order to express their feedback. The buyer reviews serve as feedback for businesses in terms of performance, product quality, and seller service. This Project focused on buyer’s opinions based on Laptop and Computer Accessories reviews. Sentiment Analysis is the task of Analysis all this data, retrieving opinions about these products and services that classify them as positive, negative, or neutral. One unique thing that will increase the productivity level of this project is Problems/Issues extractions from user reviews. This insight could help companies improve their products in case of issues as well as helping potential buyers to make the right decision. Initially, these reviews must be pre-processed in order to remove the unwanted data such as stop words, verbs, POS tagging, punctuation, and conjunctions. Once, the pre-processing is over the trained dataset is classified. There are many techniques present at this time to do such tasks, but in this Project, we will use a model that will use different supervised  machine techniques

Project Objectives

The main objective of this project is to go about an extra mile to provide the users with issues extractions by analysis of thousands and thousands of reviews.

To save time by analyzing thousands of reviews in a short period and if those reviews were analyzed manually it may take up to decades.

The overall output is achieved by several steps like:

• Step 1: Gathering the raw data from different repositories.
• Step 2: Preprocessing the raw data in a usable format.
• Step 3: Fetching the data set file using python language.
• Step 4: Identifying the problems and sentiment words in the reviews.
• Step 5: Maintaining a count of different types of words.
• Step 6: Data visualization in a bar graph.

Project Implementation Method

As the industrial web website of this form of utterly surpassed through in on-line platform folks is commerce merchandise through a definite e-exchange information processing system. And since of this reviewing merchandise ahead than buying is additionally a common state of affairs. In addition currently, daily, customers are additional willing nearer to the critiques to shop for a product. Therefore learning the knowledge from those client evaluations to create the records further dynamic could be a crucial discipline latest instance. Our proposed system will be a machine learning-based algorithm or program which takes user reviews or text as an input and processes it to predict the problem/issues and positive, negative, or neutral reviews of a product. The project will include Machine learning models like Binary Classification, Multiclass Classification, and Linear Regression to find out the problems and reviews. As it is concluded from the literature review and past research works there will be a possibility to improve the efficiency as compared to other methods and previous experiments. But there will be some changes from the previous system that was recently developed which is taken as a reference which we will try to improve for better performance

In this research, we will use Naïve Bayes Theorem and we will also try to perform sentimental analysis with Support Vector Machine (SVM), our system will be based on both but for research purpose, we will show the only one which has higher result as compare to other

Benefits of the Project

The rapidly growing availability of user reviews has become an important resource for companies to detect customer dissatisfaction from textual opinions. There have been few recent studies conducted on business-related opinion tasks to extract more refined opinions about a product’s quality problems or technical failures. Customers don’t have much knowledge about the product quality, service duration, etc. and same as Supplier also don’t know about the product quality level and service regardless of the reviews which about it overall customer satisfaction,  The main advantage of this research is it will be focused on opinion mining tasks, which is useful for customers and including sentiment classification of negative and positive texts, extraction of products’ features and overall ratings from reviews.

An important task has received less attention – problem phrase extraction, that is, extraction of information about products’ failures and missing functionality, which is related to companies’ requirements or developers’ activities and causes customer dissatisfaction with products. It will be opinion mining tasks to determine whether given text from reviews contains a mention of a problem. We formulate research questions and propose knowledge-based methods and probabilistic models to classify users' phrases and extract latent problem indicators, aspects, and related sentiments from online reviews.

Technical Details of Final Deliverable

As we are working on the research-based project and we have to implement it on the administrator site where they can see the analyze overview of the system collectively

We will implement the system on their system where they can easily come to know the problems and sentiments against their product, we will implement a GUI system on the administrator end where they will upload reviews and analyze user sentiments  

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Decent Work and Economic Growth

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com