INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This approach gives an advanced alternative to the existing Sentiment analysis models. Emotional Models are a bit trickier than the traditional Sentiment Models as they analyze human emotions by identifying the context of a text, which is different from a Sentiment Model where only the polarity of the text is calculated and the prediction is either positive or negative. The Model requires a huge dictionary of lexicons which points to different emotions. This can be used to analyze a text based on the lexicons that belong to a particular human emotion. The words in the text are embedded with low dimensional vectors, which makes it easier to use in the Neural Network Models. The purpose of emotional analysis is to identify the sentiment of a given text. In general, emotional analysis can predict emotions such as anger, happiness, surprise, sadness and so on. The classification of the emotions can only be achieved through psychological models that define human emotions in terms of mathematical values. Emotion Models are built based on Natural Language Processing and Text Analysis using Deep Learning Techniques. Tweet Analysis helps in classifying data about a specific brand or a product and its interest among the users.
Keywords:
Twitter Data, Sentiment Analysis, Attention based Bidirectional LSTM, BERT, Deep Learning
Cite Article:
"Analysis of Emotional Model on Tweets Using Data Mining", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 12, page no.b577-b581, December-2022, Available :http://www.ijnrd.org/papers/IJNRD2212168.pdf
Downloads:
000118745
ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn