Mathematical and Software for Sentimental Analysis of Text Data

  • L.A P
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Abstract

Currently, one of the priorities of any company is to improve the quality of products based on the study of user requests on the Internet: social networks, blogs, Internet service sites. This is primarily due to the development of technologies, the wide spread of Internet Commerce, and the ability of Internet users to exchange opinions about the products and services of companies. Users publish their thoughts in open access on online resources, allowing companies and potential buyers of products to take into account information from consumers. Dissatisfaction with products can cause negative advertising for the company. In recent decades, the consumer goods market has seen a sharp increase in the number of technically complex products. This is primarily due to the development of technological innovations, which leads to a constant increase in specific types of computer products and the concept of connecting different functionality in a single device. In this regard, customers have complaints about the usability of the product, along with improper technical quality. Many buyers return products to companies even if the product is working properly according to state standards and technical reports of companies, which negatively affects the trust of customers and the company's image. © 2020, World Academy of Research in Science and Engineering. All rights reserved.

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APA

L.A, P. (2020). Mathematical and Software for Sentimental Analysis of Text Data. International Journal of Advanced Trends in Computer Science and Engineering, 9(3), 3207–3210. https://doi.org/10.30534/ijatcse/2020/112932020

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