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Understanding Semantic web technologies

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In Alex Garland's 2014 sci-fi thriller, when Caleb the plot's anti-hero first meets Ava, an AI-driven humanoid, the first thing he does to test her intelligence is to engage her in a conversation. "So we need to break the ice. Do you know what I mean by that?", he asks. He tests her further, "what do I mean?". "Overcome initial social awkwardness", she quips.


Top 10 Influential Tools For Sentiment Analysis in 2020

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The internet is flooded with numerous opinions, reviews, suggestions, making brands need a way to categorize them into the good, the bad, the ugly, the emergency and the neutral sections. To prioritize whom to respond to first, and understand how the consumers feel about certain services or products. For this, businesses need the right metrics to understand why customers react positively or negatively with their brand. Hence, brands are paying more attention to sentiment analysis, which basically uses AI and machine learning to study customer feedback. Sentiment analytics tools help in measuring the brand health by analyzing KPIs like brand awareness, brand reputation, and brand's share of voice.


Why is Sentiment Analysis important from a business perspective? - AYLIEN

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Sentiment essentially relates to feelings; attitudes, emotions and opinions. Sentiment Analysis refers to the practice of applying Natural Language Processing and Text Analysis techniques to identify and extract subjective information from a piece of text. A person's opinion or feelings are for the most part subjective and not facts. Which means to accurately analyze an individual's opinion or mood from a piece of text can be extremely difficult. With Sentiment Analysis from a text analytics point of view, we are essentially looking to get an understanding of the attitude of a writer with respect to a topic in a piece of text and its polarity; whether it's positive, negative or neutral.


How Four AI Startups Help Brands Exploit Customer Reviews

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Already, as of 2010, a quarter of Americans (24%) had posted product reviews or comments online, and 78% of Internet users had gone online for product research. But those are ancient stats. More recently, BrightLocal found in 2016 that 91% of consumers regularly or occasionally read online reviews, with 47% taking sentiment of local-business reviews -- the tonality of a review's text -- into account in purchasing decisions. Breaking out the figures, 74% of consumers say that positive reviews make them trust a local business more and 60% say that negative reviews make them not want to use a business, according to BrightLocal. So reviews are important, and the feelings expressed are key.


4 AI startups that analyze customer reviews

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Already, as of 2010, a quarter of Americans (24 percent) had posted product reviews or comments online, and 78 percent of internet users had gone online for product research. But those are ancient stats. More recently, BrightLocal found in 2016 that 91 percent of consumers regularly or occasionally read online reviews, with 47 percent taking sentiment of local-business reviews -- the tonality of a review's text -- into account in purchasing decisions. Breaking out the figures, 74 percent of consumers say that positive reviews make them trust a local business more, and 60 percent say that negative reviews make them not want to use a business, according to BrightLocal.