1. Articles in category: Sentiment

    1-24 of 755 1 2 3 4 ... 30 31 32 »
    1. A Reading Of Optimism And Fear Surrounding The Amazon-Whole Foods Deal

      A Reading Of Optimism And Fear Surrounding The Amazon-Whole Foods Deal

      5 of the Best US Stock Picks for a Patriotic (and Profitable) Summer (GuruFocus) While some fear Amazon.com, Inc. (NASDAQ: AMZN ) might take over the world one day, others are ecstatic grocery prices might come down a little after Amazon’s proposed acquisition of Whole Foods Market, Inc. (NASDAQ: WFM ). Benzinga took a look at consumer sentiment data from its alternative data network to get a better sense of what people think of the deal.

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    2. Targeted social campaigning based on user sentiment on competitors' webpages

      Automatic social campaigning is provided based on the user sentiment in user posts on competitor webpages. User posts on competitor webpages are analyzed to determine the user sentiment of the posts. Promotional messages promoting a product or service of a company are generated and provided to the users based on the user sentiment. In some instances, promotional messages may only be generated and provided for user posts with negative sentiment. The content of the promotional messages may also be selected based on the user sentiment.

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    3. Communication monitoring based on sentiment

      Method and system are provided for communication monitoring based on sentiment. The method includes: monitoring a new communication prior to sending created by a sender to a recipient, wherein the new communication includes text input by the sender; and analyzing the text of the new communication using sentiment analysis and determining a sentiment score on a scale between negative sentiment and positive sentiment. In response to the sentiment score for the text of the new communication being on the negative side of a predefined threshold on the scale, referencing an overall relationship score based on past communications between the sender ...

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    4. AI is not yet a slam dunk with sentiment analytics

      AI is not yet a slam dunk with sentiment analytics

      ZDNet Japan AI is not yet a slam dunk with sentiment analytics Despite advancements in AI and natural language processing, science is still catching up to the art in sentiment analytics. Speed up your old PC When we look at how big data analytics has enhanced Customer 360, one of the first disciplines that comes to mind is sentiment analytics. It provided the means for expanding the traditional CRM interaction view of the customer with statements and behaviors voiced on social networks.

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      Mentions: Japan New York NLP
    5. Guiding a conversation based on cognitive analytics

      To guide a conversation based on cognitive analytics, data of the conversation up to a time in the conversation is received from a conversation interface while the conversation is continuing. Current data is received from a data source. The current data relates to a remote participant in the conversation and a topic in the conversation. A sentiment value of the remote participant during the conversation is determined from the current data and the conversation data. While the conversation is continuing, data of a prompt is introduced into the conversation. The data of the prompt is configured to cause the conversation ...

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    6. What Exactly Do You Mean When You Say 'Best'?

      What Exactly Do You Mean When You Say 'Best'?

      What Exactly Do You Mean When You Say 'Best'? By American Technion Society American Technion Society researchers have developed a system that can identify and interpret sarcastic statements on social media. Credit: Twitter Researchers at the American Technion Society have developed the sarcasm Sentimental Interpretation GeNerator (Sarcasm SIGN), a system for interpreting sarcastic statements in social media.

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    7. BPU Provides Improved Social Dialogue and Big Data Analytics for South Korean Election

      BPU Provides Improved Social Dialogue and Big Data Analytics for South Korean Election

      NEW YORK- Sentiment Symposium— Validating investor trust in its recent raise of $60 million in the fourth largest crowdfunding event in history, BPU Holdings Corporation (BPU) of Seoul, South Korea, (BPU International) today details its success as Social Strategist for now President Moon, Jae-in during his recent South Korean election bid. BPU’s CEO speaks on this subject at this week’s Sentiment Symposium in New York.

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    8. Building an Email Sentiment Analysis Bot with Stanford Nlp

      Building an Email Sentiment Analysis Bot with Stanford Nlp

      #RNTN #SentimentAnalysis #StandfordNLP 0 shares Natural language processing technologies have become quite sophisticated over the past few years. From tech giants to hobbyists, many are rushing to build rich interfaces that can analyze, understand, and respond to natural language. Amazon’s Alexa, Microsoft’s Cortana, Google’s Google Home, and Apple’s Siri all aim to change the way we interact with computers.

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    9. New system detects sarcasm on social media

      New system detects sarcasm on social media

      Representational image Scientists have developed a new system that can detect sarcasm in social media posts, and interpret it for people with autism and Asperger's syndrome who have difficulty understanding such statements. "There are a lot of systems designed to identify sarcasm, but this is the first that is able to interpret sarcasm in written text," said Lotam Peled, graduate student at Technion-Israel Institute of Technology.

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    10. Social Media Tool Designed to Detect Sarcasm

      Social Media Tool Designed to Detect Sarcasm

      Home » News » Psychotherapy » Social Media Tool Designed to Detect Sarcasm Social Media Tool Designed to Detect Sarcasm By Traci Pedersen ~ 1 min read People with autism spectrum disorder often have trouble detecting sarcasm and irony, particularly when it is written in text. Now researchers have developed a system, called Sarcasm SIGN (sarcasm Sentimental Interpretation GeNerator), that can interpret sarcastic statements in social media.

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    11. New system detects sarcasm on social media

      New system detects sarcasm on social media

      New system detects sarcasm on social media Press Trust of India, Jerusalem, Jun 24 2017, 15:56 IST The system can detect and interpret sarcasm on social media, and can be a good aid to autistic people or those who have Asperger's. photo for representation. Scientists have developed a new system that can detect sarcasm in social media posts, and interpret it for people with autism and Asperger's syndrome who have difficulty understanding such statements.

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      Mentions: Jerusalem
    12. New system detects sarcasm on social media

      New system detects sarcasm on social media

      Scientists have developed a new system that can detect sarcasm in social media posts, and interpret it for people with autism and Asperger's syndrome who have difficulty understanding such statements.

      "There are a lot of systems designed to identify sarcasm, but this is the first that is able to interpret sarcasm in written text," said Lotam Peled, graduate student at Technion- Israel Institute of Technology.

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    13. System detects, translates sarcasm on social media

      Follow all of ScienceDaily's latest research news and top science headlines ! Science News System detects, translates sarcasm on social media Date: American Technion Society Summary: Researchers have developed a machine translation system for interpreting sarcastic statements in social media. It could one day help people on the autism spectrum, who often have difficulty interpreting sarcasm, irony and humor.

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    14. How Sentiment Analysis and Data Analysis Can Improve Your Sales

      How Sentiment Analysis and Data Analysis Can Improve Your Sales

      How Sentiment Analysis and Data Analysis Can Improve Your Sales By Brian O'Connell, Business News Daily Contributor June 19, 2017 09:27 am EST MORE Credit: Shutterstock To properly understand what customers want, when, why and how they want it, retailers need to pivot toward sentiment analysis, a burgeoning technology that taps into consumer demand based on natural language processing.

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    15. Frame-based Sentiment Analysis with Sentilo

      Frame-based Sentiment Analysis with Sentilo

      Frame-based Sentiment Analysis with Sentilo 10 views Sentilo is an unsupervised, domain-independent system that performs sentiment analysis by hybridising natural language processing techniques and semantic Web technologies. Given a sentence expressing an opinion, Sentilo recognises its holder, detects the topics and subtopics that it targets, links them to relevant situations and events referred by it and evaluates the sentiment expressed on each topic/subtopic.

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      Mentions: RDF
    16. Tracking Brands: Emotions will tell us more than sentiments ever could about how consumers perceive…

      Tracking Brands: Emotions will tell us more than sentiments ever could about how consumers perceive…

      Follow Following May 21 Tracking Brands: Emotions will tell us more than sentiments ever could about how consumers perceive brands (case in point Volkswagen) If you were responsible for spearheading the communications mandate for Volkswagen after the dieselgate scandal then you’d be wondering some of these questions, How does social media sentiment change as a consequence of a public relations crisis? How does the public react to recovery efforts initiated by the company?

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      Mentions: Volkswagen
    17. This is what social and online media thought about the 2017 federal budget

      This is what social and online media thought about the 2017 federal budget

      twitter Treasurer Scott Morrison. Stefan Postles/ Getty Images Sentiment about the 2017 federal budget on social and online media was more positive, or at least neutral in nature, than expected. Media monitoring company Meltwater analysed 1111 online news articles and 9094 mentions in social media in the hours following the release of the budget on Tuesday night.

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      Mentions: Australia Instagram
    18. Utilizing temporal indicators to weight semantic values

      A mechanism is provided, in a data processing system comprising a processor and a memory configured to implement a question and answer system (QA), for utilizing temporal indicators to weight semantic values. A set of temporal characteristics is identified of a set of initial candidate answers. For each initial candidate answer in the set of initial candidate answers: a distance value is generated for each of the set of temporal characteristics of the set of initial candidate answers, a multiplier value is determined with which to weight an initial confidence score associated with the initial candidate answer using the distance ...

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    1-24 of 755 1 2 3 4 ... 30 31 32 »
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