The document discusses the importance and methodology of sentiment analysis powered by AI, which helps brands understand customer emotions from various online platforms. It emphasizes the role of Repustate IQ as a comprehensive text analytics solution that streamlines the sentiment analysis process into actionable insights through data visualization. By leveraging natural language processing, brands can efficiently analyze vast amounts of data to inform marketing strategies and improve customer experience.

1. Will the Future of Search
be Semantic in 2021?
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2. Table of Contents
● Sentiment Analysis and Need of AI
● Sentiment Analysis Process
● The Sentiment Analysis Process with Repustate IQ
● Use Repustate IQ to get the most out of your investment

3. NLP Sentiment Analysis
Process: Step-by-Step
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4. Sentiment analysis is the AI-powered method through which brands
can find out the emotions that customers express about them on the
internet. It could be through videos on TikTok or Facebook, comments
on Twitter or Xing, or surveys and emails. So, let’s dig deeper into the
sentiment analysis process and understand how exactly AI enables
sentiment analysis behind the curtain. We will also delve into the
sentiment analysis steps conducted by Repustate IQ, the all-in-one
machine text analytics and sentiment analysis solution.

5. Sentiment Analysis and Need of AI
Market research for functions like brand awareness campaigns, product
enhancement, customer experience, brand monitoring, voice of the employee,
and the like are heavily dependent on machine-learned, sentiment analysis
steps of a text analytics API. Or, in other words, knowing the emotions of the
audience regarding different aspects of a company - whether they are
positive, negative, or neutral.
Manually sieving through big data for this kind of activity has been replaced
at a breakthrough speed with AI-based technologies. Brands are choosing to
lean on (natural language processing) NLP-driven machine learning
platforms to get more detailed information buried in the vast sea of data that
is collected through emails, customer reviews, surveys, customer care logs.

6. Data visualization
Sentiment analysis steps are deeply intrinsic, comprising many different
machine learning and NLP tasks and subtasks.
Sentiment Analysis Process
Once all the steps in the sentiment analysis process have been covered, the insights
are quickly turned into actionable reports in the form of graphs and charts. These
reports can then be shared within teams as well. These visual reports are really
important because it is through them that you see granular, aspect-based results. For
example, when you get an average score for your brand, you can filter the results in the
sentiment analysis dashboard to see which aspects got how high a score and which
ones got low scores. This will give you an idea as to what areas need your attention
more than others. Thus, at this stage of the sentiment analysis steps, you get
actionable insights that you can use to decide the right course of action for your growth
plans.

8. The Sentiment Analysis Process with
Repustate IQ

9. Use Repustate IQ to get the most out of
your investment
The aforementioned sentiment analysis process steps are integral to giving
the high-precision results that Repustate IQ gives. Our all-in-one text
analytics and sentiment analysis platform processes data from all sources
such as news websites, patient experience data, employee experience data,
customer care logs, surveys, and social channels including podcasts,
YouTube, TikTok, Twitter, Facebook, and more. It is the smartest, fastest way
to get accurate and precise insights from your data for market research, brand
positioning, growth, you name it.

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