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Sentiment analysis. 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.
Stock market prediction. Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on an exchange. The successful prediction of a stock's future price could yield significant profit. The efficient market hypothesis suggests that stock prices reflect all currently available ...
A transformer is a deep learning architecture developed by Google and based on the multi-head attention mechanism, proposed in a 2017 paper "Attention Is All You Need". [1] Text is converted to numerical representations called tokens, and each token is converted into a vector via looking up from a word embedding table. [1]
European stock pickers are turning to more established sectors like utilities, professional data providers and even copper miners to tap into the next wave of the AI boom, a year after AI ...
In Nvidia's case, its split could make the stock more manageable for inclusion in the blue-chip Dow Jones Industrial Average. The 30-member Dow is a price-weighted index, so Nvidia's current price ...
A language model is a probabilistic model of a natural language. In 1980, the first significant statistical language model was proposed, and during the decade IBM performed ‘Shannon-style’ experiments, in which potential sources for language modeling improvement were identified by observing and analyzing the performance of human subjects in predicting or correcting text.
To figure out how to earn $500 monthly from Target, we start with the yearly target of $6,000 ($500 x 12 months). Next, we take this amount and divide it by Target's $4.40 dividend: $6,000 / $4.40 ...
Natural language processing ( NLP) is an interdisciplinary subfield of computer science and information retrieval. It is primarily concerned with giving computers the ability to support and manipulate human language. It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or ...
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