1. Articles in category: Sentiment

    49-72 of 737 « 1 2 3 4 5 6 ... 29 30 31 »
    1. Cross-lingual seeding of sentiment

      A contact center system can receive messages from social media sites or centers. The messages may be in a foreign language. The system can review messages by identifying content in the social media messages with negative/positive sentiment and then identify a seed term in the messages. A seed term can be a word in another language, different from the message body. The seed term is then used to find one or more other words, in the foreign language, that are correlated with the seed term. The identification of the found words in other messages can then be used to ...

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    2. Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques.

      Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques.

      Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques.

      Cognit Comput. 2016;8:757-771

      Authors: Dashtipour K, Poria S, Hussain A, Cambria E, Hawalah AY, Gelbukh A, Zhou Q

      Abstract With the advent of Internet, people actively express their opinions about products, services, events, political parties, etc., in social media, blogs, and website comments. The amount of research work on sentiment analysis is growing explosively.

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    3. Systems and methods for managing user reputations in social networking systems

      To determine and quantify the reputations of users within a social network. In an embodiment, a social networking system determines at least one category associated with a first account of a social networking system. The social networking system determines a first reputation score for the first account in the at least one category. The category may represent subject matter in which a user of the first account has an interest. The first reputation score may be based on content posted by the first account. The first reputation score may be adjusted based on an activity and the scores of others.

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    4. Product recommendation using sentiment and semantic analysis

      In an approach to determine a product rating a computer receives a user request for a product rating. The computer retrieves from on-line sources, product information on the product and analyzes the product information to determine a first product rating. The analysis includes at least a sentiment, and a trend of the sentiment. The approach includes a computer identifying products similar to the product and retrieving from on-line sources product information on similar products. A computer extracts comments on the product from the similar product information and determines an adjustment to the first product rating based on an analysis of ...

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    5. Five Social Best-Practices and Their Examples From the Food Industry

      Five Social Best-Practices and Their Examples From the Food Industry

      Top Since social media debuted, marketers have worked against a constantly shifting landscape to wrangle social data and apply it for maximum impact. What strategies are most important now, and why? Here are five best-practices, using examples from the NetBase Social Media Best-Practices Guide 2016: Restaurant Brands for context. 1. Increasing brand awareness via social promotions This tactic might sound obvious, but the most effective approach may not be.

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      Mentions: NetBase CMO
    6. Create C# Library for Sentiment and Emotion Analysis by ricklein

      Create C# Library for Sentiment and Emotion Analysis by ricklein

      Create C# Library for Sentiment and Emotion Analysis Este proyecto termina hoy y tiene una oferta promedio de $2574 USD . 2 Descripción del Proyecto This project will use the C# language, and must be a Visual Studio project that compiles under Visual Studio 2013. The project falls into the category of Natural Language Processing. The functionality performs a sentiment analysis and an emotion analysis on text. The input to the function is a string containing text content.

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      Mentions: DLL
    7. A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection. (arXiv:1606.05704v1 [cs.CL])

      We investigate the novel task of online dispute detection and propose a sentiment analysis solution to the problem: we aim to identify the sequence of sentence-level sentiments expressed during a discussion and to use them as features in a classifier that predicts the DISPUTE/NON-DISPUTE label for the discussion as a whole.

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    8. Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. (arXiv:1606.02820v1 [cs.CL])

      A word's sentiment depends on the domain in which it is used. Computational social science research thus requires sentiment lexicons that are specific to the domains being studied. We combine domain-specific word embeddings with a label propagation framework to induce accurate domain-specific sentiment lexicons using small sets of seed words.

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    9. Multilingual Visual Sentiment Concept Matching. (arXiv:1606.02276v1 [cs.CL])

      The impact of culture in visual emotion perception has recently captured the attention of multimedia research. In this study, we pro- vide powerful computational linguistics tools to explore, retrieve and browse a dataset of 16K multilingual affective visual concepts and 7.3M Flickr images. First, we design an effective crowdsourc- ing experiment to collect human judgements of sentiment connected to the visual concepts.

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    10. Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification. (arXiv:1606.01614v1 [cs.CL])

      In recent years deep neural networks have achieved great success in sentiment classification for English, thanks in part to the availability of copious annotated resources. Unfortunately, most other languages do not enjoy such an abundance of annotated data for sentiment analysis. To combat this problem, we propose the Adversarial Deep Averaging Network (ADAN) to transfer sentiment knowledge learned from labeled English data to low-resource languages where only unlabeled data exists.

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    11. Measuring patient-perceived quality of care in US hospitals using Twitter [original Research]

      Measuring patient-perceived quality of care in US hospitals using Twitter [original Research]

      Introduction Over the past decade, patient experiences have drawn increasing interest, highlighting the importance of incorporating patients’ needs and perspectives into care delivery. 1 , 2 With healthcare becoming more patient centred and outcome and value driven, healthcare stakeholders need to be able to measure, report and improve outcomes that are meaningful to patients.

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      Mentions: Amazon Bayes Medicare
    12. New Directions in Financial Analytics Conference: AI, Machine Learning and Sentiment Analysis Applied to Finance (London, Uk - July 14th & 15th, 2016) - Research and Markets

      New Directions in Financial Analytics Conference: AI, Machine Learning and Sentiment Analysis Applied to Finance (London, Uk - July 14th & 15th, 2016) - Research and Markets

      Union Carbide New Directions in Financial Analytics Conference: AI, Machine Learning and Sentiment Analysis Applied to Finance (London, UK - July 14th & 15th, 2016) - Research and Markets New Directions in Financial Analytics Conference: AI, Machine Learning and Sentiment Analysis Applied to Finance (London, UK - July 14th & 15th, 2016) - Research and Markets 05/30/2016 New Directions in Financial Analytics Conference: AI, Machine Learning and Sentiment Analysis Applied to Finance (London, UK - July 14th & 15th, 2016) - Research and Markets Research and Markets has announced the addition of the "New Directions in Financial Analytics: AI, Machine Learning and Sentiment Analysis Applied to Finance ...

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    13. New Directions in Financial Analytics Conference: AI, Machine Learning and Sentiment Analysis Applied to Finance (London, Uk - July 14th & 15th, 2016) - Research and Markets

      New Directions in Financial Analytics Conference: AI, Machine Learning and Sentiment Analysis Applied to Finance (London, Uk - July 14th & 15th, 2016) - Research and Markets

      DUBLIN--(BUSINESS WIRE)-- Research and Markets has announced the addition of the "New Directions in Financial Analytics: AI, Machine Learning and Sentiment Analysis Applied to Finance (London, UK - July 14th & 15th, 2016)" conference to their offering. AI and Machine Learning have emerged as a central aspect of analytics which is applied to multiple domains.

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      Mentions: London Dublin NLP
    14. New Directions in Financial Analytics Conference: AI, Machine Learning and Sentiment Analysis Applied to Finance (London, Uk - July 14th & 15th, 2016) - Research and Markets

      May 30, 2016 3:14pm Comments Share: DUBLIN--(BUSINESS WIRE)-- Research and Markets has announced the addition of the "New Directions in Financial Analytics: AI, Machine Learning and Sentiment Analysis Applied to Finance (London, UK - July 14th & 15th, 2016)" conference to their offering. AI and Machine Learning have emerged as a central aspect of analytics which is applied to multiple domains.

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      Mentions: London Dublin NLP
    15. New Directions in Financial Analytics Conference: AI, Machine Learning Sentiment Analysis Applied to Finance (London, Uk - July 14th & 15th, 2016) - -

      New Directions in Financial Analytics Conference: AI, Machine Learning Sentiment Analysis Applied to Finance (London, Uk - July 14th & 15th, 2016) - -

      DUBLIN--(BUSINESS WIRE)--Research and Markets has announced the addition of the "New Directions in Financial Analytics: AI, Machine Learning and Sentiment Analysis Applied to Finance (London, UK - July 14th & 15th, 2016)" conference to their offering. AI and Machine Learning have emerged as a central aspect of analytics which is applied to multiple domains. AI and Machine Learning, Pattern classifiers and natural language processing (NLP) underpin Sentiment Analysis (SA); SA is a technology »

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      Mentions: London Dublin
    16. IBM Introduces New Watson Features to the Twilio Marketplace

      IBM Introduces New Watson Features to the Twilio Marketplace

      IBM Introduces New Watson Features to the Twilio Marketplace By Jef Cozza / Sci-Tech Today PUBLISHED: 27 2016 Big Blue is teaming up with cloud communication platform Twilio to introduce two new offerings, IBM Watson Message Sentiment and IBM Watson Message Insights. Twilio, which functions as a communication tool for developers and businesses, will make both offerings available as add-ons through its recently announced marketplace, according to IBM.

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    17. IBM Introduces New Watson Features to the Twilio Marketplace

      IBM Introduces New Watson Features to the Twilio Marketplace

      IBM Introduces New Watson Features to the Twilio Marketplace By Jef Cozza / NewsFactor Network PUBLISHED: 27 2016 Big Blue is teaming up with cloud communication platform Twilio to introduce two new offerings, IBM Watson Message Sentiment and IBM Watson Message Insights. Twilio, which functions as a communication tool for developers and businesses, will make both offerings available as add-ons through its recently announced marketplace, according to IBM.

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    18. IBM Introduces New Watson Features to the Twilio Marketplace | Sci

      IBM Introduces New Watson Features to the Twilio Marketplace | Sci

      For Half the Cost Enterprise Cloud Computing On Force.com IBM Introduces New Watson Features to the Twilio Marketplace By Jef Cozza / Sci-Tech Today PUBLISHED: 27 2016 Big Blue is teaming up with cloud communication platform Twilio to introduce two new offerings, IBM Watson Message Sentiment and IBM Watson Message Insights.

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    19. IBM Introduces New Watson Features to the Twilio Marketplace

      IBM Introduces New Watson Features to the Twilio Marketplace

      IBM Introduces New Watson Features to the Twilio Marketplace By Jef Cozza / CRM Daily PUBLISHED: 27 2016 Big Blue is teaming up with cloud communication platform Twilio to introduce two new offerings, IBM Watson Message Sentiment and IBM Watson Message Insights. Twilio, which functions as a communication tool for developers and businesses, will make both offerings available as add-ons through its recently announced marketplace, according to IBM.

      Read Full Article
    49-72 of 737 « 1 2 3 4 5 6 ... 29 30 31 »
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