Survey on Classification of Online Reviews Based on Social Networking

Main Article Content

Miss Menka K. Beldar, Miss Kavita K. Beldar, Prof. M. D. Gayakwad, Prof. M. K. Beldar

Abstract

For what reason would individuals like to vote in favor of or against content at some online groups and not at others? Social foraging hypothesis, mainly research on insect and other animal information sharing behavior, it provides new approach. Obtaining ideas from social searching hypothesis, this survey suggests that four components drive individuals' goal to vote online content (positive or negative): 1) altruistic intentions; 2) identification with the community; 3) data quality; and 4) learning self-adequacy. The survey show was tried in a study of online news groups. It found that positive voting goal was anticipated by altruistic motives, identification with the community, and learning self-adequacy. Data quality is critical for positive voting; however, it works in a indirect way through cultivating more group recognition. Negative voting expectation was anticipated by altruistic motives and data quality. Earlier research has connected through searching hypothesis to people acting alone, e.g., when an individual uses Google to search for data on the web. This survey grows the utilization of searching hypothesis to the group surroundings where people give votes to impact others in their selected group. The discoveries advance our insight about content voting and give suggestions to experts of voting systems.

Article Details

How to Cite
, M. M. K. B. M. K. K. B. P. M. D. G. P. M. K. B. (2018). Survey on Classification of Online Reviews Based on Social Networking. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(3), 250–253. Retrieved from http://www.ijfrcsce.org/index.php/ijfrcsce/article/view/1301
Section
Articles