Random quotes and tweets

More interesting than building a lie detector would be to make a self-lie detecting device.

Widespread fake belief: Each person is it's own puppeteer.

Language is the main currency of WWW (expanding at an incredible rate).I am afraid humans end up believing life consists just of it (language).

The media is a mirror of our culture which is a byproduct of our minds.

People should try to be whatever the situation calls for. The problem is in perceiving what the situation is.

The key is in finding that balance where each persons production is valued by the use of what is produced.

We need to be headed, towards a day worth remembering and a history worth repeating.

Authenticity is invaluable originality is non-existent.Wit is not where you take things from is where you take them to.

Life is always a work in progress.

Comments about Meaning, Language and Music

Meaning

1. Meaning is the human desire to "know" & "understand". Meanings are the concepts we build to see order where apparently there is none.

2. Realization is the meaning. This is true especially for poetry and all modern art.

3. Is Abstraction more real than nature? Is meaning individual, as opposed to collective?

4. If I look for the meaning of a word in a dictionary - I am given the meaning in terms of other words and if I don't know the meaning of them, I can look them up... to infinity.

5. Someone once told me the world itself is abstract, it's only the way we perceive it that makes it concrete.

6. All meaning is context dependent. Nothing has inherent meaning. Which leads me to think that meaning is in the relationship and interaction between things.

7. Our objective view on the world can only ever be subjective simply because we have to give meaning to everything because nothing is concrete; we bring it all into existence in our minds.

8. I always felt that worry was somehow a terrible mutation of anticipation.


Language and Music

9. I choose to believe in the theory enunciated by my beloved Laurie Anderson, in which "Language is a virus from outer space".

10. I still wonder what that first language was. and who invented spelling???

11. I believe in never-ending storage theory (were we have an unlimited memory). If we could know the whole of our minds, we could know the hole universe probably.

12. Language bgaen wehn i ievtnned it jsut now.

13. Sometimes I think it's not the world that is moving faster, it's me that is moving slower. In a relativistic universe, how do I tell the difference? (While talking about how fast language changes)

14. I don't need to know why. music makes me smile, cry, takes me back in time, builds dreams and wishes, drives creativity, lifts me up, takes me down. music just is...

15. Interesting that music can so emotionally charge us, and yet the very nature of music is basic mathematics.

Now try to match as many sentences as you can with their correct author, I should warn you that there are a couple that do not belong to signed comments.

Authors

Steve E, Rob Bryanton, tape, /t, Ariel, Shadow, Shubajjit, Lane Savant , Debora kay, human being , Medicated Lady, Janetk, Gingatao , paulandrewrussell ,tinkerbell the bipolar faery

Opinion Mining and Sentiment Analysis

Textual information in the world can be broadly categorized into two main types: facts and opinions. Facts are objective expressions about entities, events and their properties. Opinions are usually subjective expressions that describe people’s sentiments, oppinions or feelings toward entities, events and their properties.

This area has grown in part as a recation to a surge of interest in opinions as a first-class kind of object of analysis, along with the huge increase in the web textual content, mainly produced by social network users.

Subjective information analysis systems answer questions about feelings and opinions. A crucialstep towards this goal is identifying the words and phrases that express opinions in text. The simplest algorithms work by scanning keywords to categorize a statement as positive or negative, based on a simple binary analysis (“love” is good, “hate” is bad). But that approach fails to capture the subtleties that bring human language to life: irony, sarcasm, slang and other idiomatic expressions. Reliable sentiment analysis requires parsing many linguistic shades of gray.

More sofisticated analysis used include the following tools:

Part of speech taggers: they identify whether a world that belongs to a sentence is a noun, verb, adverb, etc.. It was found in many researches that adjectives are important indicators of subjectivities and opinions. Thus, adjectives have been treated as special features.
Opinion words and phrases: Opinion words are words that are commonly used to express positive or negative sentiments. For example, beautiful and wonderful are positive opinion words, and negative opinion ones include horrible and terrible. Although many opinion words are adjectives and adverbs; some nouns (rubbish and junk) and verbs (hate and like) can also indicate opinion. Besides, there are also opinion phrases and idioms, like “cost someone a leg.”
Negation: They are important because their presentece often change the opinion orientation. For example, the sentence “I don’t like this camera” is negative. However, negation words must be handled with care because not all occurrences of such words mean negation. For example, “not” in “not only … but also” doesn't change the orientation.
Syntactic dependency: a tree is built from the analized sentence in order to represent it. here we can see "John hit the ball" as an example.
For casual web surfers, simpler incarnations of sentiment analysis are sprouting up in the form of lightweight tools like TweetSentiments and Twitteratr. These sites allow users to take the pulse of Twitter users about particular topics. But the accuracy of their results are not very comparer to the precission Opinion Mining researchers obtained so far (between 70% and 80% of correctly classified sentences of texts).

My favourite application of this kind was made many years ago, long before the hype, by Jonathan Harris, it was WeFeelFine. This application has a very simple opinion mining processing method, but I think, he was able to see what the future mainstream applications will be like before most of us did; he also realized the importance of a good and flexible data visiualization.

Some of the challenges sentiment ming presents include ansewring the following questions:

1. What makes an opinion positive or negative?
2. How can we rank opinions according to their strength?
3. Can we define an objective measure for ranking opinions?
4. How does the context change the polarity and strength of an opinion and how can we take it into consideration?

In order to keep exploring this topics I would recomend you to read Peter Turney's papers and blog and also Maite Taboada's papers and webpage.

Originality

This post intends the describe what happens when people try to create, in this a text, and they come across with the issue or originality.

Nothing. There’s nothing original. So I might as well give up now.
That’s what I often end up mumbling to myself, usually an hour or so after I’ve finished writing something new, once the initial elated feeling that it was the most powerful piece of prose ever committed to pixels has dissipated, to be replaced by the awful realization that someone, somewhere, probably did it all before. And did it far better, too.

When I came up with sing your own lullaby, that joyful sensation lasted for perhaps the shortest time I have ever experienced, possibly no more than three seconds. I knew with absolute certainty that the domain would already have been snapped up not just once, but a number of times. I was right.

Great amounts of blogs just replicate existing articles, like the ones from newspaper or the ones with product reviews. I do not get it, why take the time to copy the information if it is already there and they are not even adding any interesting comment.