Authors : G. Pradeepini, V. Sahithi, N. Siva Sree and P. Yamini Padmaja
Abstract: Indian history is a composition of distinct knowledge and automation. It all depends on the progress along the period. In this study we conducted sentimental analysis on various data that is collected. This helps in finding the behavior of the people who are active or inactive. Now-a-days, social media is taking a crucial role in social networking and sharing of data. These sites are favored by many users since it is available to everyone without any restriction to share their opinions, educational learning experiences and concerns via their status. Student’s posts on social network offers us a stronger concern to take decisions with reference to the particular education system’s learning method of the system. Evaluating such knowledge in social media is sort of a difficult method. Within the proposed system, there will be a work flow to mine the knowledge that integrates each study and big scale data mining techniques supporting the various distinguished themes in which behaviors are categorized into different teams. Data mining techniques are used to enforce the deep-mined knowledge for analysis purpose to urge the deeper understanding of the information. Word based measures are mostly taken to research the results and comparing them with the prevailing sentiment analysis technique.
G. Pradeepini, V. Sahithi, N. Siva Sree and P. Yamini Padmaja, 2021. Sentimental Analysis on Blog Data. International Journal of Soft Computing, 16: 50-56.