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..,
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.
HARDWARE SPECIFICATIONS:
SOFTWARE SPECIFICATIONS: