1. Articles in category: Sentiment

    1-24 of 739 1 2 3 4 ... 29 30 31 »
    1. 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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    2. 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
    3. 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
    4. 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
    5. 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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    6. The issues in the federal budget -- as defined by social media

      The issues in the federal budget -- as defined by social media

      twitter Greg Wood/AFP/Getty Images The big issues for the federal budget to be announced Tuesday next week are education, housing affordability, jobs and debt, according to analysis of social and online media over the last week. Media monitoring group Meltwater, in a study of 1871 online news articles and 8906 social media mentions between April 27 and May 3, detected negative sentiment on areas where there’s been speculation of funding cuts.

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    7. Cognitive presentation advisor

      A computer-implemented method for reviewing content of a presentation is provided. The method includes obtaining, using a processor system of a device, content of an electronic presentation, wherein the content is associated with a first slide of the presentation. The format of the content is determined wherein the content includes natural language content and non-natural language content and the non-natural language content is converted into natural language content using the processor system. The sentiment and tone of the natural language content is analyzed using the processor system. A textual summary is created. The sentiment, tone and textual summary of the ...

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    8. The benefits of sentiment data analysis

      The benefits of sentiment data analysis

      By Kgaogelo Letsebe , Portals journalist Johannesburg, 16 Mar 2017 BrandsEye CEO JP Kloppers says there are numerous benefits to the commercial applications of accurate sentiment-driven data. By definition sentiment analysis, sometimes known as opinion mining or emotion AI, refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information.

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      Mentions: Johannesburg
    9. Emotion-related query processing

      Embodiments of techniques, apparatuses and systems associated with emotion information processing are disclosed. In some embodiments, a computing system may receive an image of a person and identify an emotional state of the person, based at least in part on the image. The computing system may cause storage of the emotional state of the person in combination with other data to enable subsequent response to an emotion-related query provided to the computing system. The emotion-related query may include an emotion-related criteria and a non-emotion-related criteria and the response may be based at least in part on the emotional state in ...

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    10. Understanding patient satisfaction with received healthcare services: A natural language processing approach.

      Understanding patient satisfaction with received healthcare services: A natural language processing approach.

      Understanding patient satisfaction with received healthcare services: A natural language processing approach.

      AMIA Annu Symp Proc. 2016;2016:524-533

      Authors: Doing-Harris K, Mowery DL, Daniels C, Chapman WW, Conway M

      Abstract Important information is encoded in free-text patient comments. We determine the most common topics in patient comments, design automatic topic classifiers, identify comments ' sentiment, and find new topics in negative comments.

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    11. A Test: Which Vendor Wins at Sentiment Analysis?

      A Test: Which Vendor Wins at Sentiment Analysis?

      Businesses could benefit from early detection of negative sentiments in Enterprise Social Networks. PHOTO: Andrew Nolan Natural language processing and sentiment analysis have been popular artificial intelligence (AI) research topics for decades now. Early sentiment analysis efforts were typically applied to significant bodies of text, like movie or book reviews.

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      Mentions: Stanford Mary
    12. Prediction of advertisement preference by fusing EEG response and sentiment analysis.

      Prediction of advertisement preference by fusing EEG response and sentiment analysis.

      Prediction of advertisement preference by fusing EEG response and sentiment analysis.

      Neural Netw. 2017 Feb 16;:

      Authors: Gauba H, Kumar P, Roy PP, Singh P, Dogra DP, Raman B

      Abstract This paper presents a novel approach to predict rating of video-advertisements based on a multimodal framework combining physiological analysis of the user and global sentiment-rating available on the internet.

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      Mentions: EEG
    13. Algorithms, Vol. 10, Pages 33: Large Scale Implementations for Twitter Sentiment Classification

      Algorithms, Vol. 10, Pages 33: Large Scale Implementations for Twitter Sentiment Classification

      Algorithms 2017 , 10 (1), 33; doi:10.3390/a10010033 (registering DOI) Large Scale Implementations for Twitter Sentiment Classification Computer Engineering and Informatics Department, University of Patras, Patras 26504, Greece 2 Department of Informatics, Ionian University, Corfu 49100, Greece 3 Department of Cultural Heritage Management and New Technologies, University of Patras, Agrinio 30100, Greece 4 Computer & Informatics Engineering Department, Technological Educational Institute of Western Greece, Patras 26334, Greece * Author to whom correspondence should be addressed. Academic Editor: Bruno Carpentieri Received: 8 December 2016 / Revised: 28 February 2017 / Accepted: 1 March 2017 / Published: 4 March 2017 (This article belongs to the Special ...

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    14. Linking multiple entities associated with media content

      In one embodiment, a method includes determining that media content being viewed by a user comprises a plurality of entities, accessing information indicative of the plurality of entities, and querying a social graph of the social-networking system for social content associated with each of the plurality of entities and one or more other users of the social-networking system. The social graph includes user nodes that are each associated with a particular user of the social-networking system. The method further includes providing at least a portion of the queried social content from the social graph for display along with the information ...

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    15. Crowd-powered self-improving interactive visualanalytics for user-generated opinion data

      Embodiments relate to interacting with a collection of user opinion documents associated with a topic. One aspect includes obtaining opinion data for the collection of opinion documents associated with the topic. The opinion data includes one or more features discussed in the opinion documents, one or more key phrases included in each feature, one or more text snippets included in each feature, and at least one sentiment expressed in each text snippet. A visual interface is provided in which a feature summary view of the opinion documents acts a top level of a navigational hierarchy. The visual interface allows user ...

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    16. Method and system for achieving emotional text to speech utilizing emotion tags expressed as a set of emotion vectors

      A method and system for achieving emotional text to speech. The method includes: receiving text data; generating emotion tag for the text data by a rhythm piece; and achieving TTS to the text data corresponding to the emotion tag, where the emotion tags are expressed as a set of emotion vectors; where each emotion vector includes a plurality of emotion scores given based on a plurality of emotion categories. A system for the same includes: a text data receiving module; an emotion tag generating module; and a TTS module for achieving TTS, wherein the emotion tag is expressed as a ...

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      Mentions: TTS
    17. How should investors react when President Trump tweets about

      How should investors react when President Trump tweets about

      How should investors react when President Trump tweets about a stock? Even the President of the United States suffers from "Diminishing Returns of Influence". Trump's tweets are a catalyst for a broader discussion which can be mined for insight.

      Source: BUZZ Indexes President Trump's inauguration hasn't slowed down his Twitter activity. In a recent interview with the Wall Street Journal I was asked how Trump's tweets about specific companies affect stock prices.

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    18. Trump Tweets And Stock Sentiment

      Trump Tweets And Stock Sentiment

      Trump Tweets And Stock Sentiment Feb. 7, 2017 8:01 AM ET | How should investors react when President Trump tweets about a stock? Even the President of the United States suffers from "Diminishing Returns of Influence". Trump's tweets are a catalyst for a broader discussion which can be mined for insight. Source: BUZZ Indexes President Trump's inauguration hasn't slowed down his Twitter activity.

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    1-24 of 739 1 2 3 4 ... 29 30 31 »
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