@article{MAKHILLIJSC202116321501,
    title = {Sentimental Analysis on Blog Data},
    journal = {International Journal of Soft Computing},
    volume = {16},
    number = {3},
    pages = {50-56},
    year = {2021},
    issn = {1816-9503},
    doi = {ijscomp.2021.50.56},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2021.50.56},
    author = {G.,V.,N. and},
    keywords = {Social media,education,data mining,web text analysis,sentimental analysis,conducted},
    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.}
    }