Opinion Mining about a Product by Analyzing Public Tweets in Twitter

The article by Das et al. (2014) focuses on opinion mining about a product through assessing public tweets in twitters. The authors of the article propose an approach that includes five modules, system architecture as well as user interface design and implementation (Das et al., 2014). Based on the research by Das et al. (2014) the proposed model assists the management to carry out their survey successfully. The user is able to overcome setbacks encountered while utilizing traditional survey approach. It helps in gathering necessary information from clients by utilizing online social networks (OSN). For instance, one can collect data from Twitter, MySpace, and Facebook as well as other discussion forums. High-end managers can use the approach to generate reports, for instance, pie charts and graphs in seconds. The information collected helps the management to make changes or developments to their products.

References

Das, T. K., Acharjya, D. P., & Patra, M. R. (2014). Opinion Mining about a Product by

Analyzing Public Tweets in Twitter. International Conference on Computer Communication and Informatics. Retrieved March 22, 2019

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