The SemantAPI toolkit is a free, open source toolkit intended for a quick and easy comparison of the most popular NLP and sentiment analysis solutions on the market. The toolkit offers 2 independent analysis applications: SemantAPI.Robot and SemantAPI.Human, as well as a data stream application, GNIP to CSV.
Some of the biggest challenges for the scientific community today involve understanding the principles and mechanisms that underlie natural language use on the Web. An example of long-standing problem is language ambiguity; when somebody types the word “Rio” in a query do they mean the city, a movie, a casino, or something else? Understanding the difference can be crucial to help users get the answer they are looking for. In the past few years, a significant effort in industry and academia has focused on disambiguating language with respect to Web-scale knowledge repositories such as Wikipedia and Freebase.
The use of language has an extended effect upon society and culture. This effect cannot be determined exactly and the intent behind its use is not the production of change but communication between individuals across time and space. Society uses language and the language grows with time and the number of it’s users.
It's dogma that language and communication are the same thing. Any action you carry out communicates something. "A gesture, a hairstyle, almost anything. Sure, language behaviour also communicates something."
"Beyond that, almost all language is not involved in communication. We all know that, you can't go one minute without talking to yourself, it would take a tremendous effort of will to not think about what's going on in your head. That's communication with self."
Constraints of Knowledge
Just like a dog is incapable of learning quantum physics, humans have their own limits of intelligence and understanding. "This really shouldn't surprise anyone, we know we have constraints on what we can do physically, we can't fly like eagles let say. If there are also limits to our cognitive capacities, that really shouldn't surprise anyone. It would just say we're biological organisms, not angels."
"Furthermore, instead of being unhappy about our limits we should be happy about them. If there were no constraints you couldn't learn anything, you couldn't acquire anything, you couldn't discover anything. If you don't have limits, you don't have scope, there's a logical connection between limit and scope. The fact that there are limits on what you can be, enables you to become what you did become. Instead of living a pointless existence."
Limits of Science.
The point of Science is to understand as much as we can about the nature of things, a worthy objective. It is not however meant to understand everything, that's impossible.
"Science can deal with simple things, but it doesn't get anywhere when it gets to complex things. It's hard, it's hard to explain even simple things, but when it does we find all kinds of surprising things, for example, you find our only intelligible concept of the world is wrong."
As described by Terence McKenna in Ordinary Language, Visible Language and Virtual Reality:
The starships of the future that will explore the high frontier of the unknown will be syntactical. The engineers of the future will be poets.
This is what virtual reality holds out to us—the possibility of walking in to the constructs of the imagination. In a way culture is that. I mean our cities, bridges, highways, airliners and art galleries are condensations out of the imagination, but at tremendous cost because we must make them out of matter. Once we can make them out of light, out of electrons, then we won't build skyscrapers a hundred and twenty stories high, we'll build them as high as we want.
Roof height will no longer be a factor ruled by cost effectiveness and gravity, it will be a parameter ruled by the imagination as well all other parameters and then we will discover what man truly is—when we are able to erect, stabilize, share and explore our dreams in a kind of virtual hyperspace that, carefully analyzed, is seen to be linguistic.
An analysis of mood patterns distilled from half a billion tweets has produced a civilization-scale picture of how moods rise and fall in tandem, over time and across the world.
The details seem intuitive: positive feelings peaking in the morning, dipping during work and rising at day’s end; negativity accumulated over the workweek dissipating late on Friday afternoon. But they’ve proved surprisingly tricky to measure.
Imagine a world of transparency where all desires are negotiated on a global market and their risks are evaluated and optimized.
The Dadameter is a tool for the profiling of language at large scale and the historical tracking of artistic and literary movements. It brings about a new alliance between art, science and global finance.
We use up-to-date 2.0 trend analysis and data visualization technologies, neural networks, graph theory or quantitative structural linguistics in order to be able to predict the next artistic craze.
Powerful online software tools for text analytics. Collect, archive, filter, search & classify data from surveys, public comments & social media. DiscoverText is a 'Swiss Army knife' for text. With one platform, DiscoverText, users can capture, filter, de-duplicate, cluster, search, human code, and machine-classify large numbers of small, unstructured units of text. Our approach mixes human and computer training in an elegant and powerful loop.
Watson, the IBM computer that will compete on Jeopardy!, represents an impressive leap forward in analytics and systems design.
Mariana Soffer's insight:
For the first time, IBM will open up Watson as a development platform in the Cloud to spur innovation and fuel a new ecosystem of entrepreneurial software app providers who will bring forward a new generation of applications infused with Watson's cognitive computing intelligence.
The bigger your company gets, however, the harder it becomes to keep a handle on how everyone feels about your brand. For large companies with thousands of daily mentions on social media, news sites and blogs, it’s extremely difficult to do manually.
Obviously language is easier than visual recognition and linguists and programmers have spent 50 years trying to program semantics as software. While IBM's Jeopardy-winning Watson system and Google Translate are high profile, successful applications of language technologies, the humorous answers and mistranslations they sometimes produce are evidence of the continuing difficulty of the problem: that computers lack a lifetime of experience. Using the context in which a word is used, an intrinsic understanding of syntax and logic, and a sense of the speaker's intention, we can intuit what another person is telling us and programs cannot.
First, we need to examine “meaning” itself, and expose a mistake, a very basic mistake, in how many people think about it. To say that some event means something without at least some implicit understanding of who it means something to is to express an incomplete idea, no different than sentence fragments declaring that “Went to the bank” or “Exploded.” Without first specifying a particular subject and/or object, the very idea of meaning is incoherent.
The fashionable ideology that “artificial” lacks the inherent goodness of “natural” is an appealing, but hopelessly simplistic notion of the intellectually chic. Artifice is the result of a deliberate intent to make. Nature also “makes” things, using a set of basic building blocks common throughout the universe. Exchanging infinite time for deliberate design, nature has ingeniously built plants, planets, galaxies and unimaginable constructs which seem to structure the univers itself.
"Literacy is changing. It really is. Even in my grade one classroom as the students begin to learn their letters and sounds, as they start to put those letters and sounds together into words, and as they take their first hesitant steps to read and write —literacy is changing.
The change in our classroom was subtle at first. When my students began writing the word we with two i’s, I smiled and talked about the more traditional spelling of the word. When students came to school with a clear understanding of what it meant to get to the next level or to have several lives, I took notice of the new vocabulary they had."
Insight: …information as dots on a screen and the story is the way to connect those dots… "Professor Brian Sturm presents storytelling as a way of organizing information, conveying emotions, and building community.
Mariana Soffer's insight:
Professor Brian Sturm presents storytelling as a way of organizing information, conveying emotions, and building community. A model of #storytelling as altered state of consciousness (the story trance) is presented that includes 16 portals to altered states. Three stories are told to illustrate the theoretical model: Truth and Story; What happens when you really listen; and The stone cutter. Storytelling ethics and the need for trust and truth are discussed
May 20, 2011. I’m at an academic conference in Paris. A graduate student gives a paper on a novel about partition by the Pakistani writer Bapsi Sidhwa, making what seems to me to be an innocuous yet perceptive argument on the vexing ways in which gender and colonialism intersect in the novel. During the discussion period, the student is dressed down by the two (female) faculty members chairing the panel. ‘Do you really think Sidhwa has anything to say about partition that’s different from Salman Rushdie just because she’s a woman?’ The student is silent. ‘Don’t work only on women’s writing,’ one professor, a placid blond with an immobile page boy haircut counsels her. ‘That goes for all of you,’ she says. ‘It’s been done, and by people much older than you. It’s over. Find something else to work on.’