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Importance and applications of battery life, processor, etc. For instance,
Aspect Based Sentiment Analysis if we consider the review “Easy to start
E-commerce is a good platform where up and does not overheat as much
people can express their views/opinions as other laptops.” Here ‘start up’ and
about services and products they access. ‘overheat’ are the two aspect terms and
In this context, aspect-based sentiment the sentiments of both aspect terms are
analysis specifies aspect terms (e.g. ‘positive’. In case of telecom domain,
price, service, network, etc.) and their ‘app’ and ‘bill amount’ are two aspect
sentiment (positive/negative/neutral) terms of the review “Hopeless app.. The
current bill amount is never updated.”
which can help customers to decide what Here the sentiments of both aspect
to consume and what to avoid. From the terms are negative.
business point of view, it gives a better
understanding of products or services The following visualizations depict an
and business management can improve application of this ASBA model on a
the quality of products or services set of comments provided by random
based on deeper insights obtained from users who attended the Mobile World
reviewers’ comments. Congress (MWC) event at Barcelona
in 2018. Each bubble represents an
The goal here is to identify aspect terms aspect and its size represents how many
from given reviews and classify them comments are present for this aspect.
into sentiment categories (positive/ MWC is green as people have talked
negative/neutral). For example, in case about ‘MWC’ mostly in a positive way.
of e-commerce domain, the product Traffic bubble is red as people have
laptop could have various aspects already talked about ‘traffic’ mostly in a
associated with it, such as price, design, negative way.
Fig - 3-5-1 Source: Flytxt
INSIGHTZ - VOLUME 03, 2018 67
