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Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
Multimodal sentiment analysis is a technology for traditional text-based sentiment analysis, which includes modalities such as audio and visual data. [1] It can be bimodal, which includes different combinations of two modalities, or trimodal, which incorporates three modalities. [ 2 ]
Language technology, natural language processing, computational linguistics. The analysis and processing of various types of corpora are also the subject of much work in computational linguistics, speech recognition and machine translation, where they are often used to create hidden Markov models for part
Decades of scientific research have been conducted developing and evaluating methods for automated emotion recognition. There is now an extensive literature proposing and evaluating hundreds of different kinds of methods, leveraging techniques from multiple areas, such as signal processing, machine learning, computer vision, and speech processing.
In modern times [15] "sentimental" is a pejorative term that has been casually applied to works of art and literature that exceed the viewer or reader's sense of decorum—the extent of permissible emotion—and standards of taste: "excessiveness" is the criterion; [16] "Meretricious" and "contrived" sham pathos are the hallmark of sentimentality, where the morality that underlies the work is ...
In order to be able to meticulously study the English language, an annotated text corpus was much needed. The Penn Treebank [ 5 ] was one of the most used corpora. It consisted of IBM computer manuals, transcribed telephone conversations, and other texts, together containing over 4.5 million words of American English, annotated using both part ...
General Sentiment, Inc. was a Long Island-based social media and news media analytics company. [1]The company had patented text analytics software to analyze content from more than 60 million sources including blogs, forums, Twitter, Facebook and comment sections. [2]
The simplest and most objective form of content analysis considers unambiguous characteristics of the text such as word frequencies, the page area taken by a newspaper column, or the duration of a radio or television program. Analysis of simple word frequencies is limited because the meaning of a word depends on surrounding text.