Types of Sentiment Analysis

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Types of Sentiment Analysis
Repustate's all-in-one sentiment analysis platform
www.repustate.com
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What are the types of sentiment analysis
methodologies?
There are three types of sentiment analysis
approaches that a business can employ -
document-level, topic-level, and aspect-based
sentiment analysis. These approaches can be
applied depending on the size and complexity of
the text data. Lets explore them in detail. 1.
Document-level sentiment analysis 2. Topic-based
sentiment analysis 3. Aspect-based sentiment
analysis
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1. Document-level sentiment analysis
Document-level sentiment analysis aims to
classify the sentiment or emotion based on the
information in a document. In basic text
analytics, semantics in a document can be drawn
from three areas - word representation, sentence
structure and composition, and the document
composition itself. It is simple as long as
there is only one sentiment in the complete text.
However, this approach is not very helpful if the
sentence composition and word representations are
complicated. In such cases, the nuances of the
comment can be lost, and the results will be
inaccurate.
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2. Topic-based sentiment analysis
Topic-based sentiment analysis finds the
sentiment related to a specific topic. This model
identifies and extracts topics in the data
through keywords and aggregate scoring. It also
takes into account the mood reflected on the
topic. A machine learning model can be trained
for each of these topics and customized as per
the business or industry requirement. For
example, topics within healthcare can be the ER,
prescription dosage, patient wait-time, etc.,
while in hospitality, it can be food,
reservations, or service.
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3. Aspect-based sentiment analysis
Aspect-based sentiment analysis (ABSA) system
identifies the main aspects or features of an
entity and provides an estimate of the average
sentiment expressed for each aspect. For
example, an entity could be a luxury watch and
the aspects/features could be its battery life,
design, colours, and such. In other words,
aspect-based sentiment analysis is a more
granular approach to analysing reviews.
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Comparison of types of sentiment analysis using
restaurant reviews.
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Example of sentiment analysis in healthcare
reviews
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Which is the best way to do sentiment analysis?
The best approach is always the one that provides
the most significant degree of granular results
and delivers tangible insights that can be used
to make a real difference to your business.
Ultimately, aspect-based sentiment analysis is
going to provide you the best results if your
product or service attracts customers who tend to
write long, complex, and detailed reviews but it
tends to be most time-consuming. This is mostly
the case in technology reviews or luxury item
reviews like watches and electronic gadgets. The
most important poit is that you begin to apply
sentiment analysis to your text data if you have
not already. That is the first best step.
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What makes Repustates sentiment analysis tool
stand out?

• Repustates sentiment analysis solution processes
  thousands of reviews per day for hundreds of
  clients, worldwide. It enables real-time social
  media sentiment analysis and even saves
  unforeseen PR crises. More importantly
• Our AI-powered software provides both
  topic-driven and aspect-based sentiment analysis
  for the most accurate results in 23 languages and
  dialects.
• Its processing speed is 1,000 reviews per second.
  
• Our solution is highly customizable and scalable
  because we know that each business is unique,
  even if in the same industry.

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