Review Sentiment Analysis

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

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

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.

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.

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.

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.

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.

Understand your data, customers, & employees with 12X the speed and accuracy.

Thank you!

Visit: www.repustate.com to learn more