ISSN 2394-5125
 

Research Article 


Emotion Classification via Social Media using Machine Learning Algorithm

SnehaprabhaJadhav, Dr. Sandeep B. Vanjale, Dr. PramodJadhav.

Abstract
Social media analysis is a special area of assessment while the basic concept is to identify customer
communication. The current function of Emotion approval on Twitter apparently relies on word usage and direct
separation in the word model package. An important question in our understanding is whether we will improve their
overall performance usingAI statistics. Mythical Counting of the Pride Status Profile (POMS) speaks to the status
quo of 12 shows using 65 descriptive words with a combination of Ekman's classes and Plutchik's Emotions such as,
anger, sadness, fatigue, strength, difficulty, frustration, joy, frustration, fear, anxiety, fear , panic and anticipation.
These Feelings organize with the help of bags based on the names and statistics of LSI. Commitment function to
incorporate AI calculations into the Emotion system, providing minimal use without human anonymity. Sequential
Minimal Optimization calculations shoot when database testing with the help of a large amount of data preparation.
Rate POMS exhibition and Sequential Minimal Optimization calculations on the Twitter API. The result shows with
Assist of Sentiment Emojis by assent to utilize a tweet object.

Key words: Emotional Intelligence, Text Encoding, POMS, Repeated Neural Networks, Nev Convolutional Networks, Unison Model, Sequential Minimal Optimization, Twitter


 
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How to Cite this Article
Pubmed Style

SnehaprabhaJadhav, Dr. Sandeep B. Vanjale, Dr. PramodJadhav. Emotion Classification via Social Media using Machine Learning Algorithm. JCR. 2020; 7(9): 3346-3353. doi:10.31838/jcr.07.09.510


Web Style

SnehaprabhaJadhav, Dr. Sandeep B. Vanjale, Dr. PramodJadhav. Emotion Classification via Social Media using Machine Learning Algorithm. http://www.jcreview.com/?mno=31809 [Access: May 30, 2021]. doi:10.31838/jcr.07.09.510


AMA (American Medical Association) Style

SnehaprabhaJadhav, Dr. Sandeep B. Vanjale, Dr. PramodJadhav. Emotion Classification via Social Media using Machine Learning Algorithm. JCR. 2020; 7(9): 3346-3353. doi:10.31838/jcr.07.09.510



Vancouver/ICMJE Style

SnehaprabhaJadhav, Dr. Sandeep B. Vanjale, Dr. PramodJadhav. Emotion Classification via Social Media using Machine Learning Algorithm. JCR. (2020), [cited May 30, 2021]; 7(9): 3346-3353. doi:10.31838/jcr.07.09.510



Harvard Style

SnehaprabhaJadhav, Dr. Sandeep B. Vanjale, Dr. PramodJadhav (2020) Emotion Classification via Social Media using Machine Learning Algorithm. JCR, 7 (9), 3346-3353. doi:10.31838/jcr.07.09.510



Turabian Style

SnehaprabhaJadhav, Dr. Sandeep B. Vanjale, Dr. PramodJadhav. 2020. Emotion Classification via Social Media using Machine Learning Algorithm. Journal of Critical Reviews, 7 (9), 3346-3353. doi:10.31838/jcr.07.09.510



Chicago Style

SnehaprabhaJadhav, Dr. Sandeep B. Vanjale, Dr. PramodJadhav. "Emotion Classification via Social Media using Machine Learning Algorithm." Journal of Critical Reviews 7 (2020), 3346-3353. doi:10.31838/jcr.07.09.510



MLA (The Modern Language Association) Style

SnehaprabhaJadhav, Dr. Sandeep B. Vanjale, Dr. PramodJadhav. "Emotion Classification via Social Media using Machine Learning Algorithm." Journal of Critical Reviews 7.9 (2020), 3346-3353. Print. doi:10.31838/jcr.07.09.510



APA (American Psychological Association) Style

SnehaprabhaJadhav, Dr. Sandeep B. Vanjale, Dr. PramodJadhav (2020) Emotion Classification via Social Media using Machine Learning Algorithm. Journal of Critical Reviews, 7 (9), 3346-3353. doi:10.31838/jcr.07.09.510