The main purpose of this paper is to study the oscillatory properties of solutions of the third-order quasi-linear delay differential equation
ℒ
y
(
t
)
+
f
(
t
)
y
β
(
σ
(
t
)
)
=
0
{\cal L}y(t) + f(t){y^\beta }(\sigma (t)) = 0
where ℒy(t) = (b(t)(a(t)(y
0(t)) )0)0 is a semi-canonical differential operator. The main idea is to transform the semi-canonical operator into canonical form and then obtain new oscillation results for the studied equation. Examples are provided to illustrate the importance of the main results.
Social media is used to analyze political campaigns, stock market, movies, medicines, agriculture etc. Twitter a microblogging website where users read and write millions of tweets on a variety of topics daily. This project attempts to analyze the sentiment of the people for the election candidates based upon the live opinions and emotions. The focus of our project is to assign the polarity to each tweet that is whether the user expresses a positive or negative opinion. With the tweets that are extracted, we try to find how frequent their emotions change. We are also trying to classify and differentiate the sentiments of the people before and after the election based on the tweets they upload. The location of the twitter user is used to classify the geographical area which in turn helps to analyze the emotions of people of differe project uses the Naïve-Bayes approach in R language and R Studio for processing the textual data.
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