1. Articles from smartdatacollective.com

  2. 1-24 of 29 1 2 »
    1. A D3 Image is Worth a Thousand Words: Interview with Morgane Ciot

      A D3 Image is Worth a Thousand Words: Interview with Morgane Ciot

      Keywords : Modeling Many things have been said and done in the realm of analytics, but visualizations remain at the forefront of the data analysis process, where intuition and correct interpretation can help us make sense of data. As an increasing number of tools emerge, current visualizations are far more than mere pictures on a screen, allowing for movement, exploration and interaction. One of this tools is D3 , an open-source Javascript data visualization library.

      Read Full Article
      Mentions: Boston NLP Star Wars
    2. Why Business Intelligence Needs Bots

      Why Business Intelligence Needs Bots

      Please login or register to follow this user. Why Business Intelligence Needs Bots Like it? Keywords : Business Intelligence “O Deep Thought computer,” he said, “the task we have designed you to perform is this. We want you to tell us….” he paused, “The Answer.” “The Answer?” said Deep Thought. “The Answer to what?” “Life!” urged Fook. “The Universe!” said Lunkwill. “Everything!” they said in chorus. Deep Thought paused for a moment’s reflection. “Tricky,” he said finally.

      Read Full Article
      Mentions: Douglas Adams Siri
    3. The Future of Business Intelligence is collaborative

      The Future of Business Intelligence is collaborative

      The Future of Business Intelligence is collaborative Like it? Getting from Reports to Decisions Business Intelligence is often still a very IT-centric, top-down undertaking. Teams of engineers process the raw data into warehouses and analysts build reports and vizualisations that are then published in a self-service tool or distributed via Email. But Business Intelligence has one critical problem that it has yet to solve: making people actually use it .

      Read Full Article
    4. How can Jarvis be helpful in the Future of Big Data Analytics?

      How can Jarvis be helpful in the Future of Big Data Analytics?

      Please login or register to follow this user. How can Jarvis be helpful in the Future of Big Data Analytics? Like it? Keywords : Big Data Every week, hundreds of articles are published across the internet about 2017’s technology trends. One of the top trends is 'Intelligent applications.' Hand-in-hand with artificial intelligence, intelligent applications are on the rise.

      Read Full Article
    5. Here’s Why Natural Language Processing is the Future of BI

      Here’s Why Natural Language Processing is the Future of BI

      Please login or register to follow this user. Here’s Why Natural Language Processing is the Future of BI Like it? Keywords : Business Intelligence Every time you ask Siri for directions, a complex chain of cutting edge code is activated. It allows ‘her’ to understand your question, find the information you’re looking for, and respond to you in a language that you understand. This has only become possible in the last few years.

      Read Full Article
    6. 3 Harsh Truths about Big Data

      3 Harsh Truths about Big Data

      3 Harsh Truths about Big Data Like it? Keywords : Big Data Takeaways from Strata NYC With this year’s Strata + Hadoop World conference in New York over, and after recovering from a hectic week of live demos, presentations and introducing Sisense to anyone who had half a mind to listen, I wanted to take a moment to look back at the event and mostly – how it reflects on the current big data landscape.

      Read Full Article
      Mentions: New York RAM ETL
    7. Dreamforce 2016 – Post One

      Dreamforce 2016 – Post One

      Please login or register to follow this user. Dreamforce 2016 – Post One Keywords : Analytics , dreamforce , salesforce , Big Data , Software

      As I’m headed into another Dreamforce event I plan to keep you updated on the happenings this week. As usual, Dreamforce promises to be a whirlwind of activity and a high energy event. I attend a lot of conferences and while it can be a grind sometimes, Dreamforce is usually a high point in the conference season.

      Read Full Article
    8. That's Sick! Text Mining and Words with Multiple Definitions

      That's Sick! Text Mining and Words with Multiple Definitions

      When you read the title of this article, you must wonder what I'm talking about when I say, "That's sick!"

      It makes sense if I just witnessed a car accident so heinous that it made me feel sick to my stomach. However, it also makes sense if I just saw Sidney Crosby score the game-winning goal for the gold medal game at the 2014 Socchi Olympics. A difficulty with linguistics is that the same word can have multiple meanings.

      Read Full Article
    9. Philip Resnik

      Title: Chief Scientist Company: Converseon Website @psresnik Bio: Philip’s research combines knowledge-based and statistical methods of natural language processing to answer practical problems. His work is supported by the NSF, DARPA, IARPA, ARL, and a Google Research Award. Philip is an internationally recognized expert in natural language processing and a leader in the combination of knowledge-based and statistical methods. He is a Professor of Linguistics at the University of M
      Read Full Article
    10. Mok Oh: To Do Data Science, You Need a Team of Specialists

      Currently the Chief Scientist at PayPal, Mok Oh came on board when eBay acquired WHERE, where he was Chief Innovation Officer.  Prior to WHERE, Mok founded EveryScape, a data visualization company.  The following is an edited transcript of our recent phone conversation. How do you define a data scientist? Data scientists answer the key question of what to do with the huge amount of information being created and there’s no one description that fits all. On my team at PayPal, we have people with P
      Read Full Article
    11. Practical Sentiment Analysis and Lies

      Like it? 0 Posted April 10, 2012 with 23 reads Keywords: Analytics, truth in advertising, Commentary, Culture/Leadership, Data Quality, Policy and Governance comments 0 Q&A with Prof. Bing Liu ahead of the Sentiment Analysis Symposium and Pre Symposium Tutorial Tom: Bing, how did you get into text analytics, and sentiment analysis? Bing: My earlier research interests were in the areas of data mining and machine learning. In about year 2000, I started to
      Read Full Article
    12. On Text Analytics vs Machine Translation

      On Text Analytics vs Machine Translation
      Like it? 1 Posted March 15, 2012 with 93 reads Keywords: machine translation, text analytics, Data Mining, Data Quality, Data Visualization, Sentiment Analysis, Text Analytics comment 1 I've made an interesting observation recently while talking to people about Thinkudo Enlighten. It regards the misunderstanding between Text Analytics and Machine (automated) Translation. More than once people've asked "How did you do the Chinese translation?" when I menti
      Read Full Article
      Mentions: NLP Text Analytics
    13. Challenges of Chinese Natural Language Processing - Segmentation

      Like it? 0 Posted February 22, 2012 with 15 reads Keywords: Analytics, Chinese character analytics, Text Analytics comments 0 As the Chinese consumer market takes the center stage in the world economy, the rush to adapt business tools for the Chinese market is equally as frenzy. Fortunately, despite what my friend Ben might say, most of the adaptions are confined to the interface layer. That means, the majority of the challenges a
      Read Full Article
    14. Sentiment Analytics - The Gold Mine, which you didn't Mine!

      Sentiment Analytics - The Gold Mine, which you didn't Mine!
      Like it? 1 Posted February 14, 2012 with 47 reads Keywords: Analytics, Service Level Agreements, SLA, CRM, Data Mining, Market Research, Sentiment Analysis, Social Media comments 0 It’s really a no brainer that Customer Satisfaction matters. Every IT or Business unit I’ve known, considers Customer Satisfatction, a very high priority and does strive really hard to ensure they engage very closely with their customers. To ensure every cus
      Read Full Article
    15. Crossing the Language Chasm: Extracting Information from Foreign-Language Text

      Crossing the Language Chasm: Extracting Information from Foreign-Language TextSmart Data CollectiveWhat's more, even machine translation can be costly when applied to massive quantities of text. High cost for poor quality is bad news; the good news is that there is better way to go about it. Cross-lingual text analytics is more accurate and less ...
      Read Full Article
      Mentions: S. Brown Asia
    16. Sentiment, Summits and Strategies: A Conversation with Seth Grimes

      Sentiment, Summits and Strategies: A Conversation with Seth Grimes
      Sentiment, Summits and Strategies: A Conversation with Seth GrimesSmart Data CollectiveText analytics draws on data mining and visualization and also on natural-language processing (NLP). Supplement NLP with technologies that recognize patterns and extract information from images, audio, video, and composites and you have content ...
      Read Full Article
    1-24 of 29 1 2 »
  1. Categories

    1. Default:

      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD