background preloader

Text analysis

Facebook Twitter

Social Media Monitoring and Analytics Platform.

Call center analytics

Google Image Result for. Some questions on Text Analysis : MachineLearning. Linguamatics' I2E Text Mining Platform Chosen by FDA - businesswire.com. Linguamatics, a leader in natural language processing (NLP)-based text mining, has announced that the FDA’s Center for Drug Evaluation and Research (CDER) has licensed its I2E text mining platform to support laboratory research efforts on drug safety.

Linguamatics' I2E Text Mining Platform Chosen by FDA - businesswire.com

Financial details of the agreement were not disclosed During the term of the license, CDER will use I2E to mine published literature and drug product labels to answer questions relating to a range of biomedical topics, including drug toxicity mechanisms and disease processes. AlchemyAPI - Transforming Text Into Knowledge. Psychographic text analysis classifier for values (i.e. worldviews) - Mattias Östmar. Keywords Alone Are Not Enough: Why Real Text Analytics Matters.

LP Insights Real-Time Business Intelligence. DiscoverText - A Text Analytic Toolkit for eDiscovery and Research. Text Analysis. Google Image Result for. Speed, Scale, Automation and Comprehension: The True ROI of Text Analytics — Nectarine Imp. Natural Language Processing HUB – News about NLP. Good business: Scalable document management lends solid legal footing. Scalable document management is handy when accommodating changing numbers of documents, users and locations.

Good business: Scalable document management lends solid legal footing

Attensity Pipeline: Social Media Conversations Analyzed, In Real-Time And In The Cloud At Scale. For many companies, understanding what’s being said about them or their products and services in the real-time social media space will only become more important.

Attensity Pipeline: Social Media Conversations Analyzed, In Real-Time And In The Cloud At Scale

Vendors of social and customer analytics solutions are aiming to fill the need: A couple of weeks ago, heavyweight Salesforce said the Twitter firehose will be funneled to its social analytics arm Radian6. Converseon Gives Big Data a Human Touch and Added Value. Social data provides important insights into the desires, habits and inclinations of customers.

Converseon Gives Big Data a Human Touch and Added Value

While, many platforms survey customer remarks on social media outlets like Facebook and Twitter, such technology is often limited in its “word-spotting” approach which, taken out of context, may yield results irrelevant to a client’s research aims. Google Image Result for. What can text analytics learn from Crowdsourcing — Nectarine Imp. Or: What we can learn from crowdsourcing Text Analytics can learn a lot from a competing system for getting answers to analytical-like questions.

What can text analytics learn from Crowdsourcing — Nectarine Imp

Crowdsourcing is a voluntary effort where collaboration to solve a problem is key. Text analytics is a sort of involuntary collaboration of multiple voices gathered together in a corpus. Dave’s Adventures in Business Intelligence » Go, Universe, Go! I have been selected to speak at the 2012 SAP BusinessObjects User Conference (twitter tag #SBOUC).

Dave’s Adventures in Business Intelligence » Go, Universe, Go!

My topic this year will be a follow-up of sorts to a topic I did last year called, “Designer Essentials.” In the essentials topic I went over the basic requirements of universe design (setting up a connection, adding tables, building joins, and so on). Predictive Analytics Use Outside Legal Industry. In the legal industry, the use of analytics has been on the rise.

Predictive Analytics Use Outside Legal Industry

It’s most often used to speed up document review. Using text analytics, a small, representative data set can be used to quickly identify similar documents in a much larger population, allowing for more targeted, faster document review. Outside of the legal industry though, the technology is also gaining momentum and is seen as a great use for big data and cloud technologies. Forbes.com reports on analytics’ use to predict future events or data patterns such as in fraud detection, production management, or by marketing (for analyzing customer retention). What is noisy text? - Definition from WhatIs.com. API Directory - ProgrammableWeb. UC-enabled "Multimodal Customer Experiences" Copyright (C) Unified-View, All Rights Reserved.June 7, 2012 A recent analysis of contact center applications moving into the "cloud" showed that IVR (self-service) applications was the application that was most frequently shifted off premise to a "cloud" based service.

UC-enabled "Multimodal Customer Experiences"

This highlights how customers will be accommodated with more flexible self-service options as they start using multimodal smart phones and tablets, rather than traditional voice-only telephones. As I suggested in a previous post, mobile customers will now require an integration of various customer service experiences. It will be a combination of how self-service interfaces are designed for smartphones and tablets, as well as how live assistance is accessed and supported when needed.

It also includes proactive, outbound “notifications” and alerts to mobile customers from automated business process applications, and what response options can be given to the mobile recipient. I think, therefore I am an Artificial Intelligence. If All Human Souls posess Conciousness, then (as I have unassailably logically proved symbolically) according to the many experimental results of the Classic Young's Double-Slit Experiment in technical jargon: I. 'Consciousness' is sometimes an unobserved Wave, when a particle is detected (which-way information) can sometimes maintian it's quantum state regardless.

I think, therefore I am an Artificial Intelligence

II. 'Consciousness' is whether measured (which-way info.) or no can be detected or not correspondingly. III. Lexalytics.com. Classification is a few value proposition for text analytics - it allows users to quickly drill into articles of interest and look at trends over time.

Lexalytics.com

Setting up a classification scheme can be a lot of work. The common techniques are: Using queries to bucket documents Using a machine learning model based on tagged document sets. Roistr - Semantic Analysis and Text Analytics. Predictive Analytics: NeuralNet, Bayesian, SVM, KNN. Continuing from my previous blog in walking down the list of Machine Learning techniques. In this post, we'll be covering Neural Network, Support Vector Machine, Naive Bayes and Nearest Neighbor. Again, we'll be using the same iris data set that we prepared in the last blog. Neural Network Neural Network emulates how the human brain works by having a network of neurons that are interconnected and sending stimulating signal to each other. In the Neural Network model, each neuron is equivalent to a logistic regression unit. An interesting philosophical kerfuffle.

Interesting comments by David Berry at Stunlaw on Object-Oriented Ontology (OOO) based around what is the philosophical purpose of OOO and what are the political questions that arise from a clarification of that philosophical purpose. David writes a great (semi-) polemic on OOO, by fundamentally questioning the importance of knowing what it is like to be a thing, and why this form of knowing should be privileged within a philosophical system. What do your online conversations really say? Des Viranna is the Sydney-based general manager for customer intelligence at SAS Australia and New Zealand.

SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. The world has reached the point where billions of digital comments are posted daily on public web forums, blogs and social media sites such as Facebook and Twitter. In March 2012, Twitter announced that it had 140 million active users, sending 340 million tweets per day, amounting to an exponential volume of ‘letters’ – 140 characters at a time – sent worldwide. Despite these millions of words communicated in text conversation daily, it is possible to analyse words and phrases to provide a thorough understanding of the hot topics of discussion, as well as society’s sentiment, from all around the world.

Beyond Goals: Site Search Analytics from the Bottom Up. Avinash Kaushik demonstrated that site search analytics (SSA) is a powerful tool you can use to assess customer intent quantitatively. In SSA, as with all flavors of web analytics (WA), you can work from the top-down; by starting with clear, measurable metrics based on your organization’s goals, you can benchmark and continually optimize the performance of your content and designs.

While goal-driven analysis is wonderfully useful, we’ll explore a different, “bottom-up” approach that relies on pattern analysis and failure analysis to help you understand your users’ intent in qualitative ways that complement the top-down approach. User behavior—it’s yours to discover#section1 Rather than measuring performance by key performance indicators (KPI), in bottom-up analysis you “play” with the data to uncover the unexpected: Interesting patterns in the ways people search your site and strange “outliers” that teach you something new about your customers. Querying your search queries#section2. Insightful analytics blog. Text analytics broadens insight possibilities – Digital Reasoning.

Using Google's N-Gram Corpus. Turns out I'm not crazy. Text Analytics for Unstructured Information Management - Information Management Newsletters Article. Popcomm-ontology - A population and community ontology. The Population and Community Ontology (PCO) describes material entities, qualities, and processes related to collections of interacting organisms such as populations and communities. It is taxon neutral, and can be used for any species, including humans. The classes in the PCO are useful for describing evolutionary processes, organismal interactions, and ecological experiments. Practical applications of the PCO include community health care, plant pathology, behavioral studies, sociology, and ecology.

Call: Journal of Robotics 2012 issue on Cognitive and Neural Aspects in Robotics with Applications. Call for Papers: Special Journal Issue on Cognitive and Neural Aspects in Robotics with Applications 2012 (CNAR’12), Journal of Robotics. Improving the Productivity of Knowledge Workers. The term content classification is best understood in an enterprise information context, defined by the following concepts. Brain of mat kelcey. Friday Data Story: Manufacturing Ontologies and Semantic Web. Optimizing Semantic Search. Home > News > Optimizing Semantic Search. Sports Are The Semantic Focus In Britain At The BBC And In Brazil At Globo.

Semantic technology is scoring more goals in the sports world. The BBC, for example, which created the FIFA World Cup 2010 website that leveraged semantic technology, is at it again as London prepares for the 2012 Summer Olympics. Brazil has gotten into the action, too, with an Internet portal there taking soccer to the semantic web set. At the upcoming SemTech conference in San Francisco, attendees will have an opportunity to hear the latest details about both efforts. Terkait – Chrome Widget for semantic analysis of web content. Powered by VIE. IKS technology has reached Google Chrome’s Webstore. What started as a test-bed environment for several VIE widgets has lately emerged to an application that supports a user with related content while browsing the web. Urgent tasks of modern Text Linguistics. The author of one of the first Russian textbooks devoted to Text Linguistics Z. Turaeva singles out several directions of modern linguistic text analysis.

Actually, those are not directions, but particular tasks the scholars had to deal with since the science of TL appeared and which need further investigation in present days. Semantic Arts. Text Analytics. Information Interaction.