The Tweet Gross Domestic Product Tool
October 16, 2015
Twitter can be used to figure out your personal income. Twitter was not designed to be a tool to tally a person’s financial wealth, instead it is a communication tool based on a one hundred forty character messages to generate for small, concise delivery. Twitter can be used to chat with friends, stars, business executives, etc, follow news trends, and even advertise products by sent to a tailored audience. According to Red Orbit in the article “People Can Guess Your Income Based On Your Tweets,” Twitter has another application.
Other research done on Twitter has revealed that your age, location, political preferences, and disposition to insomnia, but your tweet history also reveals your income. Apparently, if you tweet less, you make more money. The controls and variables for the experiment were discussed, including that 5,191 Twitter accounts with over ten million tweets were analyzed and accounts with a user’s identifiable profession were used.
Users with a high follower and following ratio had the most income and they tended to post the least. Posting throughout the day and cursing indicated a user with a lower income. The content of tweets also displayed a plethora of “wealth” information:
“It isn’t just the topics of your tweets that’s giving you away either. Researchers found that “users with higher income post less emotional (positive and negative) but more neutral content, exhibiting more anger and fear, but less surprise, sadness and disgust.” It was also apparent that those who swore more frequently in their tweets had lower income.”
Twitter uses the information to tailor ads for users, if you share neutral posts get targeted ads advertising expensive items, while the cursers get less expensive ad campaigns. The study also proves that it is important to monitor your Twitter profile, so you are posting the best side of yourself rather than shooting yourself in the foot.
Whitney Grace, October 16, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
CFO Ruth Porat Leads Transparency Directive at Alphabet Google
October 12, 2015
The article titled Google Opens Up to Wall Street on The Wall Street Journal describes the transparency efforts ramping up at Google under the direction of new CFO Ruth Porat. It seems that as risks go up for the “Alphabet” Google thing, the company wants to be more transparent to the Wall Street crowd.
“The new approach has contributed to recent gains in Google shares, Mr. Mahaney said. Google shares are up about 15% in the past three months, while the tech-heavy Nasdaq Composite Index has dropped about 8%. Google still doesn’t offer revenue or earnings forecasts, as many companies do. But Ms. Porat is trying to provide insight to help investors better understand how Google runs its business and help analysts more easily build financial models. A Google spokesman declined to comment.”
The most impactful initiative the article discusses is “Office Hours,” or analyst and investor briefings wherein Google speaks to public information that will effect expenses, such as the seasonal hiring of recent college graduates. Investor and analyst briefings of this sort are common at most companies, although they skirt securities regulations. As long as Google only discusses already publicly disclosed information in the sessions they are safe.
Chelsea Kerwin, October 12, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Compare Cell Phone Usage in Various Cities
October 8, 2015
Ever wonder how cell phone usage varies around the globe? Gizmodo reports on a tool that can tell us, called ManyCities, in their article, “This Website Lets You Study Cell Phone Use in Cities Around the World.” The project is a team effort from MIT’s SENSEable City Laboratory and networking firm Ericsson. Writer Jamie Condliffe tells us that ManyCities:
“…compiles mobile phone data — such as text message traffic, number of phone calls, and the amount of data downloaded —from base stations in Los Angeles, New York, London, and Hong Kong between April 2013 and January 2014. It’s all anonymised, so there’s no sensitive information on display, but there is enough data to understand usage patterns, even down the scale of small neighbourhoods. What’s nice about the site is that there are plenty of intuitive interpretations of the data available from the get-go. So, you can see how phone use varies geographically, say, or by time, spotting the general upward trend in data use or how holidays affect the number of phone calls. And then you can dig deeper, to compare data use over time between different neighbourhoods or cities: like, how does the number of texts sent in Hong Kong compare to New York? (It peaks in Hong Kong in the morning, but in the evening in New York, by the way.)”
The software includes some tools that go a little further, as well; users can cluster areas by usage patterns or incorporate demographic data. Condliffe notes that this information could help with a lot of tasks; forecasting activity and demand, for example. If only it were available in real time, he laments, though he predicts that will happen soon. Stay tuned.
Cynthia Murrell, October 8, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Full Text Search Gets Explained
October 6, 2015
Full text search is a one of the primary functions of most search platform. If a search platform cannot get full text search right, then it is useless and should be tossed in the recycle bin. Full text search is such a basic function these days that most people do not know how to explain what it is. So what is full text?
According to the Xojo article, “Full Text Search With SQLite” provides a thorough definition:
“What is full text searching? It is a fast way to look for specific words in text columns of a database table. Without full text searching, you would typically search a text column using the LIKE command. For example, you might use this command to find all books that have “cat” in the description…But this select actually finds row that has the letters “cat” in it, even if it is in another word, such as “cater”. Also, using LIKE does not make use of any indexing on the table. The table has to be scanned row by row to see if it contains the value, which can be slow for large tables.”
After the definition, the article turns into advertising piece for SQLite and how it improves the quality of full text search. It offers some more basic explanation, which are not understood by someone unless they have a coding background. It is a very brief with some detailed information, but could explain more about what SQLite is and how it improves full text search.
Whitney Grace, October 6, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Recommind Hits $70 Million
September 16, 2015
A video from the Big Data Landscape, part of their Big Data TV series, brings us an interview with Recommind’s CEO, Bob Tennant. The 11-and-a-half minute video and its transcript appear under the headline, “How Recommind Grew to $70M in Big Data Revenue.”
The interview by Dave Feinleib explores Recommind’s right-moves-at-the-right-time origin story, what its intelligence and eDiscovery software does, and why Tennant is confident the company will continue to thrive. This successful CEO also offers advice for aspiring entrepreneurs in any field, so check out the video or transcript for those words of wisdom.
Interestingly, the technology Tennant describes reminds us of early Autonomy methods [pdf]. He discusses working with unstructured data:
“So what you have to do is try to understand at a deeper level what’s happening semantically. What Recommind does is marry up a very highly scalable system for dealing with unstructured information– and the kind of database you need for doing that is different than what you would utilize for online transaction processing. But it also marries that up with a very deep knowledge of machine learning, which is the root of the company and where our post-docs were doing their research, to help understand what the key pieces of information in the sea of textual stuff are. And once you understand the key pieces, then you can put that into applications for further use or you can provide it to business intelligence applications to make sense of, or you can feed it elsewhere. But that’s very different from dealing with very structured data that most people are familiar with.”
Launched in 2000 and headquartered in San Francisco, Recommind provides search-powered analysis and governance solutions to customers around the world. The company’s Malolo technology stack is built upon their CORE information management platform.
Cynthia Murrell, September 16, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Machine Learning Resolves Enterprise Search
August 26, 2015
One of the main topics of discussion on Beyond Search is enterprise search. We always try to find the juicy details behind enterprise search’s development, groundbreaking endeavors, and problems that search experts need to be aware of. One thing we can all agree on is that enterprise search is full of problems. The question is will all of enterprise search’s problems ever be solved?
Ron Miller proposed a possible solution on TechTarget’s Search Content Management blog, “Will Machine Learning Revamp Enterprise Search Software?” Machine learning offers a bevy of solutions for many industries and what is very intriguing about the process is that we have yet to scratch the surface of its possible applications. Miller points out that machine learning should deliver more accurate and broader search results than the traditional search index.
Miller imagines this scenario:
“I think we’re going to see tools where the machine can automatically generate results, based on what the user is working on. The information could perhaps populate onto a split screen, suggesting additional information that could potentially be helpful for the user, and then apply machine learning to the user’s response.”
He suggests machine learning driven enterprise search will anticipate a user’s information need and even help shape their daily work routine. These are very feasible conjectures and machine learning has already shaped such industries as the medical field and engineering. The main item to ask is when will machine learning become inexpensive enough to implement in enterprise search?
Whitney Grace, August 26, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
A Call for More Friendly Enterprise Search Results
August 10, 2015
An idea from ClearBox Consulting would bring enterprise search results in line with today’s online searches. The company’s blog asserts, “Enterprise Search? We Need Some Answers on a Card.” Writer Sam Marshall likes the way Google now succinctly presents key information about a user’s query in a “card” at the top of the results page, ahead of the old-school list of relevant links. For example, he writes:
“Imagine you want to know the time of the next train between two cities. When you type this into Google, the first hit isn’t a link to a site but a card like the one below. It not only gives the times but also useful additional information: a map, trip duration, and tabs for walking, driving, and cycling. Enterprise search isn’t like this. The same query on an intranet gives the equivalent of a link to a PDF containing the timetable for the whole region. It’s like saying ‘here’s the book, look it up yourself’. This is not only a poor user experience for the employee, but a direct cost to the employer in wasted time. I’d like to see enterprise search move away from results pages of links to providing pages of answers too, and cards are a powerful way of doing this.”
Marshall emphasizes some advantage of the card approach: the most important information is right there, separated from related but irrelevant data; cards work better on mobile devices; and cards are user-friendly. Besides, he notes, since this format is now popular with sites from Facebook to Twitter, users are becoming familiar with them.
The card concept could be enhanced, Marshall continues, by personalizing results to the individual—tapping into employee profiles or even GPS data. For more information, see the article; it utilizes a hypothetical query about paternity leave to well-illustrate its point. Though enterprise search is not exactly known for living on the cutting edge of technology, developers would be foolish not to incorporate this (or a similar) efficient format.
Cynthia Murrell, August 10, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Thunderstone Rumbles About Webinator
August 6, 2015
There is nothing more frustrating than being unable to locate a specific piece of information on a Web site when you use its search function. Search is supposed to be quick, accurate, and efficient. Even if Google search is employed as a Web site’s search feature, it does not always yield the best results. Thunderstone is a company that specializes in proprietary software application developed specifically for information management, search, retrieval, and filtering.
Thunderstone has a client list that includes, but not limited to, government agencies, Internet developer, corporations, and online service providers. The company’s goal is to deliver “product-oriented R&D within the area of advanced information management and retrieval,” which translates to them wanting to help their clients found information very, very fast and as accurately as possible. It is the premise of most information management companies. On the company blog it was announced that, “Thunderstone Releases Webinator Web Index And Retrieval System Version 13.” Webinator makes it easier to integrate high quality search into a Web site and it has several new appealing features:
- “Query Autocomplete, guides your users to the search they want
- HTML Highlighting, lets users see the results in the original HTML for better contextual information
- Expanded XML/SOAP API allows integration of administrative interface”
We like the HTML highlighting that offers users the ability to backtrack and see a page’s original information source. It is very similar to old-fashioned research: go back to the original source to check a fact’s veracity.
Whitney Grace, August 6, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Hire Watson As Your New Dietitian
August 4, 2015
IBM’s supercomputer Watson is being “trained” in various fields, such as healthcare, app creation, customer service relations, and creating brand new recipes. The applications for Watson are possibly endless. The supercomputer is combining its “skills” from healthcare and recipes by trying its hand at nutrition. Welltok invented the CaféWell Health Optimization Platform, a PaaS that creates individualized healthcare plans, and it implemented Watson’s big data capabilities to its Healthy Dining CaféWell personal concierge app. eWeek explains that “Welltok Takes IBM Watson Out To Dinner,” so it can offer clients personalized restaurant menu choices.
” ‘Optimal nutrition is one of the most significant factors in preventing and reversing the majority of our nation’s health conditions, like diabetes, overweight and obesity, heart disease and stroke and Alzheimer’s,’ said Anita Jones-Mueller, president of Healthy Dining, in a statement. ‘Since most Americans eat away from home an average of five times each week and it can be almost impossible to know what to order at restaurants to meet specific health needs, it is very important that wellness and condition management programs empower smart dining out choices. We applaud Welltok’s leadership in providing a new dimension to healthy restaurant dining through its groundbreaking CaféWell Concierge app.’”
Restaurant menus are very vague when it comes to nutritional information. When it comes to knowing if something is gluten-free, spicy, or a vegetarian option, the menu will state it, but all other information is missing. In order to find a restaurant’s nutritional information, you have to hit the Internet and conduct research. A new law passed will force restaurants to post calorie counts, but that will not include the amount of sugar, sodium, and other information. People have been making poor eating choices, partially due to the lack of information, if they know what they are eating they can improve their health. If Watson’s abilities can decrease the US’s waistline, it is for the better. The bigger challenge would be to get people to use the information.
Whitney Grace, August 4, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Plethora of Image Information
July 24, 2015
Humans are visual creatures and they learn and absorb information better when pictures accompany it. In recent years, the graphic novel medium has gained popularity amongst all demographics. The amount of information a picture can communicate is astounding, but unless it is looked for it can be hard to find. It also cannot be searched by a search engine…or can it? Synaptica is in the process of developing the “OASIS Deep Image Indexing Using Linked Data,”
OASIS is an acronym for Open Annotation Semantic Imaging System, an application that unlocks image content by giving users the ability to examine an image closer than before and highlighting data points. OASIS is linked data application that enables parts of the image to be identified as linked data URIS, which can then be semantically indexed to controlled vocabulary lists. It builds an interactive map of an image with its features and conceptual ideas.
“With OASIS you will be able to pan-and-zoom effortlessly through high definition images and see points of interest highlight dynamically in response to your interaction. Points of interest will be presented along with contextual links to associated images, concepts, documents and external Linked Data resources. Faceted discovery tools allow users to search and browse annotations and concepts and click through to view related images or specific features within an image. OASIS enhances the ability to communicate information with impactful visual + audio + textual complements.”
OASIS is advertised as a discovery and interactive tool that gives users the chance to fully engage with an image. It can be applied to any field or industry, which might mean the difference between success and failure. People want to fully immerse themselves in their data or images these days. Being able to do so on a much richer scale is the future.
Whitney Grace, July 24, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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