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.

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

2. 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 Repustate’s sentiment analysis engine
tackles reviews
● What are the benefits of sentiment analysis on
reviews?

3. Harness The Power Of
Online Reviews Sentiment
Analysis
www.repustate.com

4. In today’s 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.

5. 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.

6. How is sentiment analysis on reviews done?
1. Data Gathering:
Gather and prepare your data that you want to analyze whether it’s 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
Repustate’s 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.

7. Watch how Repustate’s 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”, Repustate’s 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.

8. What are the benefits of sentiment analysis
on reviews?
Online Review sentiment analysis can help businesses in the following ways:
1. Identify and extract how your customers feel about your business
2. Classify feelings according to different parts of your business
3. Easily visualize customer insights for fast analysis
4. Accurately target operational improvements at problem areas
5. 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.

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