Aspect-Based Sentiment Analysis - PowerPoint PPT Presentation

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Aspect-Based Sentiment Analysis

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Aspect-based sentiment analysis (ABSA) is a data mining technique that automatically assigns sentiment to predefined aspects or features of a business. In this blog, we learn about the distinct features of aspect-based sentiment analysis that make it superior to other types of techniques like document-based and topic-based sentiment analysis. – PowerPoint PPT presentation

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Title: Aspect-Based Sentiment Analysis


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Will the Future of Search be Semantic in 2021?
  • www.repustate.com

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Table of Contents
What Is Aspect-based Sentiment Analysis?

What Are The Advantages Of Aspect-Based Sentiment
Analysis?
3
Features of Aspect-Based Sentiment Analysis
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Aspect-based sentiment analysis (ABSA) is a data
mining technique that automatically assigns
sentiment to predefined aspects or features of a
business. In this blog, we learn about the
distinct features of aspect-based sentiment
analysis that make it superior to other types of
techniques like document-based and topic-based
sentiment analysis.
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What Is Aspect-based Sentiment Analysis?
Aspect-based sentiment analysis(ABSA) is a
machine learning task that identifies and assigns
sentiment to aspects, features, and topics that
it has categorized in the body of data. Insights
gained from ABSA are more detailed and in-depth
than other techniques that give a more general
overview of sentiment. Where document-based
sentiment analysis determines sentiment from a
piece of text giving you a straightforward answer
based on certain keywords, topic-based sentiment
analysis tells you the sentiment for a certain
topic in the data. When it comes to ABSA,
advanced features of aspect-based sentiment
analysis help it extract granular information
from the data thus giving you a holistic view of
the customers feelings towards various aspects
of your product/service and brand.
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For example, in a sentence like The appetizers
were okay, the drinks were flat, and the ambiance
was very bad. Here document-based sentiment
analysis will read the text as negative as it
takes the overall sentiment. Topic-based will
tell you that the topic food has neutral
sentiment, while ambiance is positive.
Aspect-based sentiment analysis, on the other
hand, breaks the text down and searches for not
only topics but also aspects like food, drink,
atmosphere, etc. It will tell you, that with
respect to the topic food, customer sentiment
was neutral, leaning towards the negative on
drinks (it does this through semantics and
contextual processing), while with regards to the
atmosphere in the restaurant itself, it will tell
you that customers were negatively inclined.
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What Are The Advantages Of Aspect-Based Sentiment
Analysis?
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Which Are The Most Important Sources Of
Collecting Customer Insights?
9
Thank you!
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