Sentiment analysis of X text with deep learning: A comparative study

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(340 available)
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Book Details
Language
English
Publishers
Our Knowledge Publishing (10 Jan. 2024)
Weight
0.14 KG
Publication Date
10/01/2024
ISBN-10
6207034287
Pages
84 pages
ISBN-13
9786207034284
Dimensions
15.24 x 0.51 x 22.86 cm
SKU
9786207034284
Author Name
Jessica Olivares López (Author)
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Sentiment analysis is one of the text classification applications of natural language processing, basically assigning an appropriate category to the content of a sentence, text or document, based on the (previously unstructured) text processing. This classification is done by assigning a sentiment polarity: positive, negative or neutral to a sentence or a document, or by assigning an emotion that is identified in the sentence.

Sentiment analysis is currently a powerful tool in various applications for different industries. It can be applied to different sectors; textile, automotive, food, manufacturing, etc.

, or even in government agencies, universities, among others, but specifically in spaces where data is collected on a daily basis. Therefore, the use of this type of strategies is becoming more and more important.

From the data that have been generated and stored for years, inferences can be made to help validate, support or stop any type of decision making. .

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