Review 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
Why do you need product review sentiment
analysis?
How is sentiment analysis on reviews done?
Business Success Review Sentiment Analysis
Watch how Repustates sentiment analysis engine
tackles reviews
What are the benefits of sentiment analysis on
reviews?
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Harness The Power Of Online Reviews Sentiment
Analysis

• www.repustate.com

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In todays digital world businesses need to make
sense of online reviews and analyze what
customers are trying to tell them. They can do
this using AI-powered text analytics and
sentiment analysis. One of the basic lessons that
all companies should follow is that success lies
in the hands of their customers. Understanding
how those customers feel about your product or
service is essential to financial survival and
prosperity. In this blog, we understand the
process of sentiment analysis on reviews and how
it can help businesses improve their products and
services.
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Why do you need product review sentiment analysis?
Product sentiment analysis - When a brand or
business has hundreds or even thousands of
reviews across various sites, retrieving them and
manually examining them for sentiment can be both
daunting and time consuming. To be effective,
businesses need to begin looking to AI powered
review sentiment analysis in order to retrieve
insights from reviews quickly and accurately.
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How is sentiment analysis on reviews done?
1. Data Gathering Gather and prepare your data
that you want to analyze whether its internal
(customer feedback) or external data (reviews
from rating sites). To prepare the data for text
analysis, all you need to do is put it into a CSV
or XLS document format. 2. Apply Review Sentiment
Analysis API Run your input data through your
sentiment analytics API. It will quickly return
sentiment scores for each relevant review topic,
aspect, or entity ranging from -1 for negative
emotions, 0 for neutral feelings, and 1 for
positive sentiment. 3. Sentiment Analysis
Dashboard Once you receive the sentiment
scoring, you can use various different data
visualization tools like Power BI, Tableau, or
Repustates Sentiment analysis dashboard to
quickly turn your data into visual reports. These
reports are made up of charts, graphs and tables
to discover trends, patterns, and actionable
insights in your data.
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Watch how Repustates sentiment analysis engine
tackles reviews
Conducting sentiment analysis on reviews given in
surveys can be a complex task because of the
ambiguity in questions and absence of context in
the brief responses. In the case of restaurants,
this complexity is further increased because of
the diverse aspects on which a restaurant is
judged. This video shows an example of how
Repustate trains its sentiment analysis engine to
handle the problem of ambiguity in restaurant
survey responses. With the addition of a
contextual parametre or frame of reference,
Repustates sentiment analysis tool understands
the difference between the term better menu
selection, meaning that the menu is good
(positive), and better menu section, where the
respondent means that the menu needs to be
improved (negative). In this way, by having a
context linked to different entities like food,
drinks, ambiance, etc., the tool can attach a
positive and negative sentiment to any given text
in a survey response more accurately.
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What are the benefits of sentiment analysis on
reviews?

• Online Review sentiment analysis can help
  businesses in the following ways
• Identify and extract how your customers feel
  about your business
• Classify feelings according to different parts of
  your business
• Easily visualize customer insights for fast
  analysis
• Accurately target operational improvements at
  problem areas
• Create baseline sentiment metrics to measure
  change progress
• Without sentiment analysis many businesses are
  operating blindly, making them susceptible to
  competitive challenges and lost sales.

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