Aspect Based Sentiment Analysis on Amazon Ear Phone Sales

Project Code :TCMAPY467

Objective

The main objective of this project is to present an aspect and description system based sentimental analysis for amazon sales data on different manufactures including boat, Samsung etc..,

Abstract

The computational handling of views, feelings, and subjectivity in text is known as sentiment analysis (SA). Aspect-based Sentiment Analysis (ABSA) is a type of sentiment analysis that tries to identify the most significant characteristics of an entity from the text and forecast their polarity. An examination of ABSA's most current state reveals a significant increase in identifying both aspect and emotion. The suggested algorithms and models are used to classify current techniques. The dataset, domain, and reported performance are all given for each mentioned study, as well as the aspect extraction method and sentiment prediction approach. The main objective of this project is to provide a quick overview of ABSA methods. The task's primary contributions are enhanced categorizations of a large number of recent Amazon earphone sales based on manufacturers such as boat, Samsung, and others.

KEYWORDS: ABSA, characteristics, performance, sentiment analysis...

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

HARDWARE SPECIFICATIONS:

  • Processor: I3/Intel
  • Processor RAM: 4GB (min)
  • Hard Disk: 128 GB
  • Key Board: Standard Windows Keyboard
  • Mouse: Two or Three Button Mouse
  • Monitor: Any

SOFTWARE SPECIFICATIONS:

  • Operating System: Windows 7+
  • Server-side Script: Python 3.6+
  • IDE: Jupyter Notebook or Colab
  • Libraries Used: Pandas, Numpy

Learning Outcomes

  • Scope of Real Time Application Scenarios
  • What type of technology versions are used
  • Working Procedure
  • Introduction to basic technologies used for
  • Datasets properties
  • ML learning algorithms.
  • Sentimental Analysis
  • Data pre-processing techniques
  • What is load forecasting’s
  • What is multi scaled ABSA
  • Project Development Skills:
    • Problem analyzing skills.
    • Problem solving skills.
    • Creativity and imaginary skills.
    • Programming skills.
    • Testing skills.
    • Debugging skills.
    • Project presentation skills.
    • Thesis writing skills.

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