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Aspect-Based Sentiment Analysis

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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Aspect-Based Sentiment Analysis

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

  2. 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

  4. 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.

  5. 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 customer’s feelings towards various aspects of your product/service and brand.

  6. 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.

  7. What Are The Advantages Of Aspect-Based Sentiment Analysis?

  8. Which Are The Most Important Sources Of Collecting Customer Insights?

  9. Thank you! Understand your data, customers, & employees with 12X the speed and accuracy. Visit: www.repustate.com to learn more

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