1. Articles in category: Sentiment

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    1. Investors are overwhelmed with too much 'data' (news from th

      Investors are overwhelmed with too much 'data' (news from th

      Investors are overwhelmed with too much 'data' (news from the company, opinions from the analysts, forecasts from the experts, tweets from the bystanders, just to name a few). There's no easy way for an investor to pick which data will drive the future performance of the stock. I articulate a method to pick the signal from the noise and use an example to demonstrate the process.

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      Mentions: Stanford
    2. White label Social CRM by Spizebox

      White label Social CRM by Spizebox

      White label Social CRM Looking for white label social CRM - Which should collect large volumes of unstructured conversations in real time for all kinds of social media platform - Granular insights on customer behaviour and keyword analysis - Accurate Sentiments associated to each brand post using: Proprietary Natural Language Processing and Machine Learning Algorithms - User friendly design

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    3. How to Code Natural Language Processing on Android With IBM Watson

      How to Code Natural Language Processing on Android With IBM Watson

      You are at the newest post. Click here to check if anything new just came in. 09:00 How to Code Natural Language Processing on Android With IBM Watson Thanks to the rising wave of artificial intelligence, users these days have come to expect apps that are both smart and aware of the contexts in which they're being used. IBM Watson offers a variety of natural language-related services you can use to create such apps.

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      Mentions: IBM Watson URL SDK
    4. How to Code Natural Language Processing on Android With IBM Watson

      How to Code Natural Language Processing on Android With IBM Watson

      How to Code Natural Language Processing on Android With IBM Watson Advertisement Use Machine Learning to Recognize Images With IBM Watson Thanks to the rising wave of artificial intelligence, users these days have come to expect apps that are both smart and aware of the contexts in which they're being used. IBM Watson offers a variety of natural language-related services you can use to create such apps.

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      Mentions: IBM Watson URL SDK
    5. IIIT-Hyderabad student wins prize

      IIIT-Hyderabad student wins prize

      IIIT-Hyderabad Hyderabad: IIIT-Hyderabad student G. Drushti Apoorva and Prof. Radhika Mamidi from the Natural Language Pr-ocessing Machine Translation Lab has won a prize at the 15th International Conference of the Pacific Association for Computational Linguistics. The paper titled Bolly: Annotation of Sentiment Polarity in Bollywood Lyrics Dataset. It can be used by researchers in the field of Hindi lyrics.

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    6. INTERConnect Analytics Releases Next Level of Sentiment Data for its Financial Markets Sentiment Analytics Service RelateTheNews

      INTERConnect Analytics Releases Next Level of Sentiment Data for its Financial Markets Sentiment Analytics Service RelateTheNews

      INTERConnect Analytics Releases Next Level of Sentiment Data for its Financial Markets Sentiment Analytics Service RelateTheNews Share Article RelateTheNews continues to expand its alpha generating sentiment and natural language analytics data library to meet the high demand for proven alternative data by global quantitative hedge funds, quantamental managers and active asset management firms.

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      Mentions: NLP ETF
    7. Preventing messages from being sent using inappropriate communication accounts

      A method, system and computer program product for preventing messages from being sent using inappropriate communication accounts. A message created by a user of a mobile device is analyzed to identify the topic and sentiment. The appropriateness of the message being sent to the intended recipient(s) using a selected communication account (e.g., company social media account) is determined based on one or more factors, including the analysis of the message to identify the topic and sentiment. A score is generated as to the appropriateness of sending the message to the intended recipient(s) based on such an analysis ...

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    8. Contextually and tonally enhanced channel messaging

      A message being constructed for posting on a messaging platform is analyzed to extract a set of message characteristics. A past period is computed for a channel on the messaging platform. A set of channel characteristics is extracted from a past period data posted in the channel during the past period. When a threshold degree of match exists between the set of message characteristics and the set of channel characteristics, a characteristic is determined that is different in the message characteristics and the channel characteristics, and which is desirable in the channel. A recommendation is constructed to include (i) a ...

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    9. Unspoken sentiment

      The sentiment of a message may not be obtainable from the message itself. However, many messages have an associated context that provides information useful in determining the sentiment of a message. Messages may include links to other resources, such as graphics or videos, which in turn include titles, comments, viewer ratings or other attributes that may provide a sentiment of the message.

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    10. 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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    11. 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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    12. 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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    13. 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
    14. 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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    15. 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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    16. 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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