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A IBM, a multinational technology company and leader in artificial intelligence, announced today (11) an improvement in AI (Artificial Intelligence) technologies IBM Watson, whose proposal is “help organizations identify and analyze some of the biggest human language challenges more clearly". 2n6p1r
In practice, new technologies are the first form of commercialization of the essential capabilities of Natural Language Processing (NLP, translated as Natural Language Processing) present in the research project Project Debater do IBM Research. The project is unique artificial intelligence system able to debate with humans on complex topics.
An example of the application is to facilitate the understanding (by the machine) of colloquial expressions and slang that we use on a daily basis, for the first time in an AI.
With advanced sentiment analysis, companies can begin to analyze this language data with Watson APIs to gain a more holistic understanding of their operations. Additionally, IBM is bringing technology from its research division, IBM Research, to understand business documents such as PDFs and contracts to also add to its AI models.
IBM, in an official statement
"Language is a tool for expressing thoughts and opinions as much as it is a tool for obtaining information.", Explain Rob Thomas, General Manager, IBM Data and AI. As a result, IBM integrates technologies from Project Debater to Watson, enabling companies to understand human language and transforming “the way they use the intellectual capital that is encoded in the data".
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To facilitate the understanding of this gradual integration, there is a basic summary of three points that are a pillar of these advances. Meet them below:
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Advanced Sentiment Analysis (or “advanced sentiment analysis”). With this, it is possible to identify and better understand constructions more word complex, such as phrases and expressions, and giving better context to words that can take on new meaning in a sentence. Example: the English expression “hardly helpful”, in which 'hard' does not mean 'difficult' (literal translation), but rather 'little'.
Based on sorting technology with deep learning of Project Debater, the new features can learn from a few hundred samples to make new classifications quickly and easily – which makes it possible to create AI models by customers themselves, to more easily classify clauses in business documents such as purchasing contracts.
The technology will be integrated into the Watson Natural Language Understanding in English in March, and by the end of the year it will be in Portuguese.
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Summarization (or “summary”). The technology is responsible for extracting textual data from various sources to provide a summary of what is being said and written. An early version of this Summarization was used at the 2020 Grammys, analyzing 18 million of texts (among articles, blogs and biographies) to produce insights on hundreds of artists and celebrities.
The data were used in Live broadcast from the red carpet and in on-demand photos and videos on the event's website, providing fans with broader context on the night's key topics. will arrive at end of this year to IBM Watson Natural Language Understanding.
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Advanced Topic Clustering (or the “advanced topic grouping”). Based on insights from Project Debater, the topic grouping allow Group the data received to create topics information, giving meaning. Thus, the data can be analyzed.
ATC will also allow experts to customize and fine-tune topics to reflect the language of specific companies or industries such as insurance, healthcare and manufacturing. The technique will be integrated with Watson Discovery in end of this year.
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Through Watson, IBM brought the previously mentioned Natural Language Processing to the market, a technology that partially emerged in the IBM Research research division. These are products like Watson Discovery (understanding of documents) IBM Watson Assistant (virtual assistants) and Watson Natural Language Understanding (advanced sentiment analysis), everyone has NLP.
No their website it is possible to the NLP creation engine for free, creating an and taking advantage of the technologies. Best of all, there is no need to your credit card, which is often a misleading proposition on many attractive platforms – fortunately, this is not the case!
