1. Articles in category: Sentiment

    73-96 of 737 « 1 2 3 4 5 6 7 ... 29 30 31 »
    1. IBM advances Watson Services by offering on Twilio Marketplace

      About CTR IBM advances Watson Services by offering on Twilio Marketplace IBM Corp. announced Tuesday that it was joining with Twilio, a cloud communications platform for developers, to introduce two new offerings, IBM Watson Message Sentiment and IBM Watson Message Insights, which will be available as add-ons in Twilio’s recently announced Marketplace.

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    2. Sentiment Analysis and Social Cognition Engine (SEANCE): An automatic tool for sentiment, social cognition, and social-order analysis.

      Sentiment Analysis and Social Cognition Engine (SEANCE): An automatic tool for sentiment, social cognition, and social-order analysis.

      Sentiment Analysis and Social Cognition Engine (SEANCE): An automatic tool for sentiment, social cognition, and social-order analysis.

      Behav Res Methods. 2016 May 18;

      Authors: Crossley SA, Kyle K, McNamara DS

      Abstract This study introduces the Sentiment Analysis and Cognition Engine (SEANCE), a freely available text analysis tool that is easy to use, works on most operating systems (Windows, Mac, Linux), is housed on a user's hard drive (as compared to being accessed via an Internet interface), allows for batch processing of text files, includes negation and part-of-speech (POS) features, and reports on thousands of lexical categories and 20 component ...

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    3. Enhanced Twitter Sentiment Classification Using Contextual Information. (arXiv:1605.05195v1 [cs.SI])

      The rise in popularity and ubiquity of Twitter has made sentiment analysis of tweets an important and well-covered area of research. However, the 140 character limit imposed on tweets makes it hard to use standard linguistic methods for sentiment classification. On the other hand, what tweets lack in structure they make up with sheer volume and rich metadata. This metadata includes geolocation, temporal and author information.

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    4. Reconciling detailed transaction feedback

      Reconciling detailed transaction feedback by detecting a rating of a transaction, where the rating indicates a negative experience, mining the sentiment of words in feedback text that is included with or as part of the rating to detect whether the words indicate positive sentiment or negative sentiment, responsive to determining that the words in the feedback text indicate that the feedback text connotes a positive sentiment, adjusting the rating of the transaction. The mining may include testing words in the feedback text to detect whether the words indicate positive sentiment or negative sentiment by calculating a sentiment score.

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    5. System and method for analysing natural language

      A computer implemented method for analyzing natural language to determine a sentiment between two entities discussed in the natural language, comprising the following steps: receiving the natural language at a processing circuitry; analyzing the natural language to determine a syntactic representation which shows syntactic constituents of the analyzed natural language and to determine a sentiment score of each constituent; determining which constituents link the two entities; and calculating an overall sentiment score for the sentiment between the two entities by processing the sentiment score of each constituent of the constituents determined to link the two entities.

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    6. Stance and Sentiment in Tweets. (arXiv:1605.01655v1 [cs.CL])

      We can often detect from a person's utterances whether he/she is in favor of or against a given target entity -- their stance towards the target. However, a person may express the same stance towards a target by using negative or positive language. Here for the first time we present a dataset of tweet--target pairs annotated for both stance and sentiment. The targets may or may not be referred to in the tweets, and they may or may not be the target of opinion in the tweets.

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    7. Modeling Rich Contexts for Sentiment Classification with LSTM. (arXiv:1605.01478v1 [cs.CL])

      Sentiment analysis on social media data such as tweets and weibo has become a very important and challenging task. Due to the intrinsic properties of such data, tweets are short, noisy, and of divergent topics, and sentiment classification on these data requires to modeling various contexts such as the retweet/reply history of a tweet, and the social context about authors and relationships.

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    8. Conversation analysis of asynchronous decentralized media

      The present disclosure provides a system that allows for the real-time and online monitoring of the exchanges between customers and a CRM team over social media. While crawling all messages exchanged over the social media by customers and CRM team, the system aggregates related messages exchanged between a given customer and the CRM team into a conversation. The system includes a linguistic framework for the analysis of conversations (based on the two linguistic theories of dialog acts and conversation analysis) to label the nature of the messages in a conversation or thread.

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      Mentions: CRM
    9. Method and system for programmatic analysis of consumer reviews

      Embodiments provide a computer-executable method, computer system and non-transitory computer-readable medium for programmatically analyzing a consumer review. The method includes programmatically accessing, via a network device, one or more consumer reviews for a commercial entity or a commercial object. The method also includes executing a consumer review processing engine to programmatically identify an attribute descriptor in the one or more consumer reviews, and executing the consumer review processing engine to programmatically generate a sentiment score associated with the one or more consumer reviews. The method further includes storing, on a non-transitory computer-readable storage device, the attribute descriptor and the sentiment ...

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    10. Generating Chinese Classical Poems with RNN Encoder-Decoder. (arXiv:1604.01537v1 [cs.CL])

      We take the generation of Chinese classical poem lines as a sequence-to-sequence learning problem, and build a novel system based on the RNN Encoder-Decoder structure to generate quatrains (Jueju in Chinese), with a topic word as input. Our system can jointly learn semantic meaning within a single line, semantic relevance among lines in a poem, and the use of structural, rhythmical and tonal patterns, without utilizing any constraint templates.

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    11. Semantic Properties of Customer Sentiment in Tweets. (arXiv:1603.07624v1 [cs.CL])

      An increasing number of people are using online social networking services (SNSs), and a significant amount of information related to experiences in consumption is shared in this new media form. Text mining is an emerging technique for mining useful information from the web. We aim at discovering in particular tweets semantic patterns in consumers' discussions on social media.

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    12. Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. (arXiv:1603.06679v1 [cs.CL])

      Aspect-based sentiment analysis has obtained substantial popularity due to its ability to extract useful information from customer reviews. In most cases, aspect terms in a review sentence have strong relations with opinion terms because an aspect is the target where an opinion is expressed. With this connection, some of the existing work focused on designing syntactic rules to double propagate information between aspect and opinion terms.

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    13. Observing Trends in Automated Multilingual Media Analysis. (arXiv:1603.02604v1 [cs.CL])

      Any large organisation, be it public or private, monitors the media for information to keep abreast of developments in their field of interest, and usually also to become aware of positive or negative opinions expressed towards them. At least for the written media, computer programs have become very efficient at helping the human analysts significantly in their monitoring task by gathering media reports, analysing them, detecting trends and - in some cases - even to issue early warnings or to make predictions of likely future developments. We present here trend recognition-related functionality of the Europe Media Monitor (EMM) system, which was developed ...

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    14. Sentiment Analysis in Scholarly Book Reviews. (arXiv:1603.01595v1 [cs.CL])

      So far different studies have tackled the sentiment analysis in several domains such as restaurant and movie reviews. But, this problem has not been studied in scholarly book reviews which is different in terms of review style and size. In this paper, we propose to combine different features in order to be presented to a supervised classifiers which extract the opinion target expressions and detect their polarities in scholarly book reviews.

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    15. Social dialogue listening, analytics, and engagement system and method

      Embodiments of social media listening, analytics, and engagement systems and method are described herein where a system user may listen to and analyze social media content based on one or more key terms. The system may expand the key terms and listen to additional social media content based on the expanded terms. The system may also enable a user to engage social media participants related to the social media content via multiple campaigns. Other embodiments may be described and claimed.

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    16. Integrating location-based social media data with enterprise business intelligence applications

      Embodiments of an information management system and related methods are disclosed. In some embodiments, the system collects social media contents and metadata from social media networks or other sources. The system then enhances the received social media data with location and other information. Furthermore, the system receives business data and information regarding business goals from a business intelligence platform owned or operated by a business entity. To satisfy the business goals, the system sorts, filters, or otherwise processes the enhanced social media data to extract business intelligence that reflect the sentiment and behavior patterns of social media users in connection ...

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    73-96 of 737 « 1 2 3 4 5 6 7 ... 29 30 31 »
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