Category Archives: Data & Research

What are you looking at?

When you open a new website, what do you first look at? Do you think is the same thing that i look at, or any other person? You may be tempted to say no, that we are different persons with different interest so we don’t look at the same things but science research tends to disagree with that affirmation.

Recently, more and more companies that study visitors behavior on web sites appeared, and one of them, EyeQuant, also affiliated with Google has just published the results of a study in which 46 subjects were requested to browse over 200 sites. The result came as a surprise, in the benefit of the company because it turns out what people are really interested in. First of all against the popular belief people aren’t that interested in faces or large font writings but rather in small sets of text and instruments that are available on the first page.

Also another interesting idea came out from the analysis of sites that were offering something free. Although economically it’s almost impossible to beat something free, it seems like people are not that interested in big adverts of free stuff.

So, in conclusion here is some important information that you shouldn’t skip if you plan on launching your own internet company. We’re not saying that otherwise you will fail but it’s always better to know your customers a little bit better than they know themselves!

The New Mobile Optimized Web Miner!

We all have to accept the fact that society is changing, and that we have to change too if we want to stay on top of any situation. Nowadays each one of us has a cellphone and many own a smartphone.

Because of the rush that we live in, we always have to be up to date with latest news and to be able to search, browse, compare and analyze websites right on the spot. But what do you do when a site fails to load on a mobile device, or has a very unfriendly look because of the desktop version unable to fit on a mobile screen. Well, i know for sure that lots of you will simply exit that website and search for an alternative mobile friendly solution.

It’s strange to see that companies fail to adapt to society and have their websites optimized for a better experience of the users. As facts, in 2013 the number of mobile devices connected to the internet exceeded the ones of the classic computers, and also, at any instance 30 percent of all internet traffic is generated from a smartphone or a tablet, and this numbers are only going to grow in 2014.

It’s easy to see the pros and cons of a mobile browsing experience and mostly the cons relate to the websites that don’t give useful information in the best way so that it can be received well. A bad mobile experience can even lead to damaging a company’s brand, not mentioning all the loses in the e-commerce branch that can survey for a retailer.

Starting a month ago TheWebMiner has implemented a mobile aware of the site for a better experience of the visitors and hopefully of the future partners. We hope that you will enjoy reading the latest posts of our blog on the go and that it will be much easier for you to find web scraping information for your company!

How website look on tablet

2014-01-12 18_55_37-TheWebMiner is a cloud data mining company

How website look on smartphone

TheWebMiner is a cloud data mining company - Google Chrome_2014-01-12_18-45-43

 

Guesstimation

Today’s post is about something we’ve been wanting to write for some time. Although it is not related to web scraping it has to do with taking a decision without needing to use a very large number of resources, having proven its efficiency in a number of cases.

Guesstimation, a concept first used in the early 30’s (not quite new as we can see) means exactly the two purposes of the two words of which is made. On the one hand we have the word Guess, denoting a not very accurate way of determining things and on the other the word Estimation, which is the process of finding an approximation which value is used for finding out a series of factors. Altogether, the word regards an estimate made without using adequate or complete information, or, more strongly, as an estimate arrived at by guesswork or conjecture.

Guesstimations in general are a very interesting subject because of the factors that led to the result. Some examples of such rather amusing results given by Sarah Croke and Robin Blume-Kohout from the Perimeter Institute for Theoretical Physics and Robert McNees from Loyola University in Chicago. When asked how much memory would a person need to store a lifetime of events the answer was simply calculated at 1 exobyte on the assumption that the human eye works just as a video camera recording everything that happens around us.

Funny or not, guesstimations began step by step to be a part of our life through rough conclusions based on economy and used by the marketers.

Web Scraping’s 2013 Review – part 2

As promised we came back with the second part of this year’s web scraping review. Today we will focus not only on events of 2013 that regarded web scraping but also Big data and what this year meant for this concept.

First of all, we could not talked about the conferences in which data mining was involved without talking about TED conferences. This year the speakers focused on the power of data analysis to help medicine and to prevent possible crises in third world countries. Regarding data mining, everyone agreed that this is one of the best ways to obtain virtual data.

Also a study by MeriTalk  a government IT networking group, ordered by NetApp showed this year that companies are not prepared to receive the informational revolution. The survey found that state and local IT pros are struggling to keep up with data demands. Just 59% of state and local agencies are analyzing the data they collect and less than half are using it to make strategic decisions. State and local agencies estimate that they have just 46% of the data storage and access, 42% of the computing power, and 35% of the personnel they need to successfully leverage large data sets.

Some economists argue that it is often difficult to estimate the true value of new technologies, and that Big Data may already be delivering benefits that are uncounted in official economic statistics. Cat videos and television programs on Hulu, for example, produce pleasure for Web surfers — so shouldn’t economists find a way to value such intangible activity, whether or not it moves the needle of the gross domestic product?

We will end this article with some numbers about the sumptuous growth of data available on the internet.  There were 30 billion gigabytes of video, e-mails, Web transactions and business-to-business analytics in 2005. The total is expected to reach more than 20 times that figure in 2013, with off-the-charts increases to follow in the years ahead, according to researches conducted by Cisco, so as you can see we have good premises to believe that 2014 will be at least as good as 2013.

 

Web Scraping’s 2013 Review – part 1

Here we are, almost having ended another year and having the chance to analyze the aspects of the Web scraping market over the last twelve months. First of all i want to underline all the buzzwords on the tech field as published in the Yahoo’s year in review article . According to Yahoo, the most searched items wore

  1. iPhone (including 4, 5, 5s, 5c, and 6)
  2. Samsung (including Galaxy, S4, S3, Note)
  3. Siri
  4. iPad Cases
  5. Snapchat
  6. Google Glass
  7. Apple iPad
  8. BlackBerry Z10
  9. Cloud Computing

It’s easy to see that none of this terms regards in any way with the field of data mining, and they rather focus on the gadgets and apps industry, which is just one of the ways technology can evolve to. Regarding actual data mining industry there were a lot of talks about it in this year’s MIT’s Engaging Data 2013 Conference. One of the speakers Noam Chomsky gave an acid speech relating data extraction and its connection to the Big Data phenomena that is also on everyone’s lips this year. He defined a good way to see if Big Data works by following a series of few simple factors: 1. It’s the analysis, not the raw data, that counts. 2. A picture is worth a thousand words 3. Make a big data portal (Not sure if Facebook is planning on dominating in cloud services some day) 4. Use a hybrid organizational model (We’re asleep already, soon)  let’s move 5. Train employees Other interesting declaration  was given by EETimes saying, “Data science will do more for medicine in the next 10 years than biological science.” which says a lot about the volume of required extracted data.

Because we want to cover as many as possible events about data mining this article will be a two parter, so don’t forget to check our blog tomorrow when the second part of this article will come up!

K-means clustering and why?

You have certainly noticed, even if you are in this business or not, that online marketing has became a science far more complicated than it was a decade ago, and also with a exponential rate of grow. Simply because of the need to keep up with the big corporations, small online companies have become more and more interested into the simple ways of maximizing the profits. One of these ways is to use K-means clustering.

Through this, one can discover hot words that led viewers to its webpage or to analyze the behavior of people browsing through pages of a site. Many other possibilities are available for the K-means but these two are the two most common used in online marketing industry.

The term of K-means refers to the number of average values that can be associated with a certain data domain.. when used with text , k-means can provide a very good way to organize the millions of words used by the customers to describe their visits and so, for marketers to actually determine what the users meant and felt at that certain time.

Once someone did understand what his clients are trying to do, he can adapt on the individual needs of users and suggest new ways that can bring more and more income without neglecting the obviously improvement of his services.

 

Average photo or photo mean

A couple of days ago I saw on the internet some photo statistics with average man and average woman from different regions around a world.

The average women face around the world

the_average_womans_face_around_the_world

The average mens face around the world

the_average_mens_face_around_the_world

An interesting question it’s How are made?

There are made using many layers of photos with opacity (alpha value). This means if we want to do mean of 3 photos we need to put 3 overlapping photos with 33% opacity for each. In many cases we can’t obtain a very sharp image. For example above photo results are photoshoped after overlapping.

 

 

 

About sentiment analysis

Hello internet,

As you probably know, we deal everyday with data scraping, which is quite challenging, but, from time to time we tend to ask ourselves what else is there, and especially, can we scrap something else other than data? The answer is yes, we can, and today I am going to talk about how opinion mining can help you.

Opinion mining, better known as Sentiment analysis deals with automatically scan of a text and establishing its nature or purpose. One of the basic tasks is to determine whether the text itself is basically good or bad, like if it relates with the subject that is mentioned in the title. This is not quite easy because of the many forms a message can take.

Also the purposes that sentiment analysis can be to analyze entries and state the feelings it express (happiness, anger, sadness). This can be done by establishing a mark from -10 to +10 to each word generally associated with an emotion. The score of each word is calculated and then the score of the whole text.  Also, for this technique negations must be identified for a correct analysis.

Another research direction is the subjectivity/objectivity identification. This refers to classifying a given text as being either subjective or objective, which is also a difficult job because of many difficulties that may occur (think at a objective newspaper article with a quoted declaration of somebody). The results of the estimation are also depending of people’s definition for subjectivity.

The last and the most refined type of analysis is called feature-based sentiment analysis. This deals with individual opinions of simple users extracted from text and regarding a certain product or subject. By it, one can determine if the user is happy or not.

Open source software tools deploy machine learning, statistics, and natural language processing techniques to automate sentiment analysis on large collections of texts, including web pages, online news, internet discussion groups, online reviews, web blogs, and social media. Knowledge-based systems, instead, make use of publicly available resources to extract the semantic and affective information associated with natural language concepts.

That was all about sentiment analysis that TheWebMiner is considering to implement soon. I hope you enjoyed and you learned something useful and interesting.

What you have to know before requesting web scraping services?

Before you request web scraping services you have to know what are your needs (what data you need, structure of it and where you can find this data).

Step 1: Define what data you need?

Data needs depending on purpose, if you want to find new customers you probably need contact data from players in your industry. Also if you want to study your competitors you need to define who are they. Only after that you can select data sources (websites feeds or other electronic sources) for this extraction.

In many cases for discovering and defining data sources are used search engines like Google, Bing, Yahoo, and others.

Step 2: Structure of data

Data structure it’s directly linked to usage purpose. In many cases data structure it’s a table where a row represents an entity and a cell of this row represents a property of this entity. In other cases Data structure is a a chart or another graphic representation builder with data extracted from a web source.

Step 3: Number of data extraction

In many cases is needed one time data extraction. In other cases when you need a regular report, are needed periodically extractions.

If you have defined all of above points you are ready to request a quote and an amount estimation from this contact form.