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What is Story.ly

Chapter 5
New Opportunities for Sentiment Analysis and Information Processing
High performance program which has the capacity to extract the sentiment from text and can show us important elements for the customers.
Published in Chapter:
Testing the SmartMunk's Story.ly App for the Analysis of Online Customer Reviews on Face Masks
Arabela Briciu (Transilvania University of Brasov, Romania), Cristian-Laurențiu Roman (Transilvania University of Brasov, Romania), and Victor-Alexandru Briciu (Transilvania University of Brasov, Romania)
Copyright: © 2021 |Pages: 27
DOI: 10.4018/978-1-7998-8061-5.ch005
Abstract
This chapter aims to present the process of selecting and analyzing a number of reviews using a software solution (an online application) created specifically for text analysis and extracting user sentiment. This software measures the level of user satisfaction, analyzing product reviews and taking into account the qualitative part of the content generated by users. Analyzing online customer reviews with the help of specialized software can help both companies and other users. The software can also help us reach a conclusion regarding the analysis of reviews and customer feedback on products or services. This study can also be useful for customers or buyers who want to know the opinion of others about a product, having the opportunity to differentiate between positive and negative reviews.
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