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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.
Many different types of analysis can be performed with social media data, including analysis of posts, sentiment, sentiment drivers, geography, demographics, etc. The data analysis step begins once we know what problem we want to solve and know that we have sufficient data that is enough to generate a meaningful result.
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 ]
Are You Smarter Than a 5th Grader?: Where in the World Is That?! What is the capital of Australia? Answer: Canberra. Which U.S. state has the most islands?
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words.
The University of Michigan Consumer Sentiment Index is a consumer confidence index published monthly by the University of Michigan. The index is normalized to have a value of 100 in the first quarter of 1966. [1] Each month at least 500 telephone interviews are conducted of a contiguous United States sample. Fifty core questions are asked. [2]
For example, large datasets based on data extracted from news reports can be built to facilitate social networks analysis or counter-intelligence. In effect, the text mining software may act in a capacity similar to an intelligence analyst or research librarian, albeit with a more limited scope of analysis.
Sentiment may refer to: Feelings, and emotions; Public opinion, also called sentiment; Sentimentality, an appeal to shallow, uncomplicated emotions at the expense of reason; Sentimental novel, an 18th-century literary genre; Market sentiment, optimism or pessimism in financial and commodity markets