@article{MAKHILLJEAS2020152119477,
    title = {Machine Learning Approach to Classify the Sentiment Value of Natural Language Processing
in Telugu Data},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {15},
    number = {21},
    pages = {3593-3598},
    year = {2020},
    issn = {1816-949x},
    doi = {jeasci.2020.3593.3598},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2020.3593.3598},
    author = {Palli,P. and},
    keywords = {Natural language processing,Telugu,sentiment analysis,polarity,machine learning,optimization},
    abstract = {Natural Language Processing (NLP) is a
computer software utilized in big information programs to
specify the consumer review additionally, it’s a major a
part of AI as a result NLP strategy is processed with
numerous languages because the language is differing
from kingdom to country. Furthermore, sentiment analysis
in NLP is superior in lots of programs and various
languages to evaluate the sentiment but part of speech
specification for distinctive language is simply too tough.
to overcome this trouble the contemporary studies aimed
to expand a singular Evolving C4.5 machine mastering
with Spider Monkey Optimization (EC4.5-ML-SMO) to
categorise the sentiment evaluation in Telugu language
effectively. Furthermore, the fitness feature of SMO more
desirable the accuracy of sentiment class in Telugu
dataset. Subsequently, the effectiveness of proposed
module is evaluated with current existing works and
attained better end result via. reaching better class
accuracy rate.}
    }