Five Steps to Quality Essay Writing

No two writers think alike. Everyone is unique. For the same reason, everyone has his own manner of using language. But as far as the science of essay writing is concerned, there are some general parameters to be followed. While writing an essay, certain tips will help you to make it an excellent one.

1. A Well Balanced Essay

Ideas should not be written in a Chaotic or disorganized manner. There must be an easy and automatic flow. You are not supposed to stop an essay in the middle of a hot issue. Proceed in such a way that each and every sentence must guide you to the conclusion. The beginning, the middle and the end must be crystal clear to the readers. How you begin, how you proceed and how you end up; all have equal importance in the assessment of an essay.

A well begun stuff pushes the readers to keep on reading it. Though the middle portion of the essay bears the essence of your topic, the conclusion is not of less importance. In short, each and every part of an essay is next to nothing.

2. Too Much is Too Bad

Never go for marathon writing. Essays must not be too long. It kills the grandeur of your work. Write the relevant points using minimum number of words which are apt and attractive. Though there are no strict rules governing the length of the essays, it is always desirable to finish it with 350 words. However you are free to break this unwritten law to a certain extent, considering the seriousness of your subject matter. A topic which requires much statements and explanations can take a little more length. But keep in mind the above said words; Too much is too bad.

3. Be up-to-the-minute

No need to mention the importance of 'knowledge chase' in the process of every type of writings. All findings start when you start finding the apt source. But don't be cheated by resources which are outdated. Be accurate in selecting the right assistance.

You can surpass your fellow students by attempting something new. Go for innovation in whatever field you indulge in. Any creative writing stuff can be made exceptional by clinging on to latest information on air. It shows that you are keeping the right pace with the world around.

4. Style par excellent

Don't use unnatural and unfamiliar words. An inclination to use these types of words seems to be made-up. A highly intricate language with full of unnecessary ornamentation leads the reader to finish reading from the middle. Use natural expressions in a novel way. Don't make sentences too complicated and too polished. Let them be interactive and conversing. Make it a thorough piece of objective one.

5. A flavor of personal touch

Study an issue from a number of possible angles. After finding creative assistance from experienced hands, add your own opinion. Give a personal touch to it. As far as your assignment is concerned, what others said is only secondary. An essay should not be a collection of the opinions of great writers and orators. There should be your stamp in it. Your own feelings and outlooks make the essay solely yours. Never be under the impression that you are second to somebody. Think that you are a person of importance. Crush the psychological barrier to include your individuality in your writings. Keep in mind; you are capable of doing anything great.

Source:http://ezinearticles.com/?Five-Steps-to-Quality-Essay-Writing&id=3127797

Internet Data Mining - How Does it Help Businesses?

Internet has become an indispensable medium for people to conduct different types of businesses and transactions too. This has given rise to the employment of different internet data mining tools and strategies so that they could better their main purpose of existence on the internet platform and also increase their customer base manifold.

Internet data-mining encompasses various processes of collecting and summarizing different data from various websites or webpage contents or make use of different login procedures so that they could identify various patterns. With the help of internet data-mining it becomes extremely easy to spot a potential competitor, pep up the customer support service on the website and make it more customers oriented.

There are different types of internet data_mining techniques which include content, usage and structure mining. Content mining focuses more on the subject matter that is present on a website which includes the video, audio, images and text. Usage mining focuses on a process where the servers report the aspects accessed by users through the server access logs. This data helps in creating an effective and an efficient website structure. Structure mining focuses on the nature of connection of the websites. This is effective in finding out the similarities between various websites.

Also known as web data_mining, with the aid of the tools and the techniques, one can predict the potential growth in a selective market regarding a specific product. Data gathering has never been so easy and one could make use of a variety of tools to gather data and that too in simpler methods. With the help of the data mining tools, screen scraping, web harvesting and web crawling have become very easy and requisite data can be put readily into a usable style and format. Gathering data from anywhere in the web has become as simple as saying 1-2-3. Internet data-mining tools therefore are effective predictors of the future trends that the business might take.

Source: http://ezinearticles.com/?Internet-Data-Mining---How-Does-it-Help-Businesses?&id=3860679

6 Beginner Tips For Creating A Solid Social Media Marketing Strategy

Most small business owners already know that if you’re not using social media marketing, you’re simply missing the boat. Facebook, Twitter, LinkedIn, YouTube, and many newcomers to the scene represent excellent ways to get the word out about your biz. With all of these sites at your disposal and all the methods with which to use them, however, the process can seem overwhelming. Instead of getting frustrated and giving up, know that there is a method to the madness – and embrace it. Read on to learn how to develop and maintain an effective social media strategy for your small business.

1. Start With the Most Successful Sites

Facebook and Twitter continue to maintain a foothold as two of the most popular social media websites, althoughPinterest and Google Plus are moving up rapidly. Unless there’s a major shift in the social media landscape, though, those first two websites are your best bets for launching a campaign. If you’re already there, work on maximizing your effectiveness on them. If you’re not, get started now.

2. Investigate Lesser Known Sites

Have you ever heard of StumbleUpon? New social media websites are popping up all the time and you never know where your next set of customers is going to come from. The more saturated the top platforms become, the harder it’s going to be to reach an audience on them – your voice may be more easily heard in smaller rooms. Of course, don’t take that as license to veer away from Facebook and Twitter, but do investigate these other sites as time permits.

3. Place a Key Focus on Content Quality

No matter where you go with your social strategy, content is always going to be key. Never post anything less than your best work. If it’s an image on Pinterest, make sure it’s high quality. If it’s a tweet, make those few words impactful. Just because you’re limited to 140 characters doesn’t mean quality should suffer. For all posts, draw upon your industry experience to provide lesser known details and advice, and once you come up with a posting schedule, scale it back if your quality begins to suffer. This point can’t be emphasized enough.

4. Track Your Efforts

It’s essential that you monitor the progress of your social media campaign so you know what’s working and what isn’t. Even though Facebook and Twitter do work for most small businesses, they might not work for you. UseHootSuite or Google Analytics to effectively keep up on the success of each of your individual campaigns.

5. Effectively Adjust Your Strategy

Next, act on your results. If Twitter isn’t giving you the boost you expected, you might not want to abandon it, just tweak your strategy or devote less of a focus to it. If a newer player like Tumblr or Reddit doesn’t show any signs of life, eliminate it and move on to something else like Instagram or Digg. Gathering data on your social strategy is important, but that does nothing if you don’t put it to good use.

6. Always Respond to Comments

No matter where you market via social media, you can’t realize any individual site’s full potential without responding to each and every comment. Even if it’s simply acknowledging and thanking a reader for taking the time, this can have a positive effect. If you encounter negative comments, jump on them immediately. These are only blemishes on your reputation if you do nothing about them. First off, be governed by the notion that the customer is always right.

There’s nothing more off-putting than a Twitter fight between a business owner and a patron, even if you’re sure you’re correct. Take this opportunity to acknowledge any grievances and make up for them ten-fold, publicly. Turn that complaint into an asset and you’ve not only won over that customer, but all the others who read the exchange.

Final Thoughts

No social media strategy can succeed without an appropriate amount of time devoted to it. If your budget doesn’t have room to hire a social media manager, you’re going to have to wear that hat yourself. In order to free up the needed time, organize your day, schedule your most difficult projects for when you’re at your best (either morning or evening) and eliminate any unnecessary interruptions.

Stop spending time on useless phone calls from telemarketers and other folks who don’t serve your business needs. Get yourself physically fit so you perform at a high level each and every day, and take your breaks. Don’t feel bad about going out for a walk or for lunch each day, because your business is going to benefit from your refreshed mind. Social media marketing is important, but only if you’re fully up to the task.

How did you go about creating your social strategy? Leave your tips in the comments below!

Source: http://www.business2community.com/social-media/6-beginner-tips-creating-solid-social-media-marketing-strategy-0783129#!wIkYk

Snowden Used Basic Web Scraping Tools In NSA Breach

Edward Snowden, the man behind the explosive leaks on mass surveillance carried out by the National Security Agency and GCHQ, used widely-available web crawlers to grab the data he needed from the US intelligence body.

The reports have caused concern over the NSA’s abilities to prevent insider attacks, as the simple software used should have triggered security warnings.

Whilst working as an NSA contractor for Booz Allen Hamilton in Hawaii, it’s believed he used the crawlers, which usually carry out legitimate searching and indexing of websites, as he went about his day job, according to a senior intelligence official speaking with the New York Times.

Snowden’s insider attack

“We do not believe this was an individual sitting at a machine and downloading this much material in sequence,” the source said.

The insider attack should have been easily detected, especially given Chelsea Manning (then known as Bradley Manning) had made off with US government data three years earlier before she handed it over to WikiLeaks. Manning was said to have used similarly automated techniques to acquire files.

Snowden, who used the scraping technique to make off with 1.7 million files, likely benefitted from working at a contractor rather than inside the NSA headquarters at Fort Meade, where better security controls were in place.

He was questioned a number of times about his activities, but explained them away by saying it was simply part of his job as a systems administrator to do network maintenance.

In a new book called “The Snowden Files”, by Guardian correspondent Luke Harding, the author claims Snowden actively sought a job at Booz Allen, as it granted him more security privileges than his previous employer, Dell.

Snowden, in a statement delivered through his lawyer at the American Civil Liberties Union, said: “It’s ironic that officials are giving classified information to journalists in an effort to discredit me for giving classified information to journalists. The difference is that I did so to inform the public about the government’s actions, and they’re doing so to misinform the public about mine.”

It was previously reported Snowden was able to gain access to various parts of the NSA network after he convinced colleagues to hand over passwords.

Source: http://www.techweekeurope.co.uk/news/snowden-web-crawlers-nsa-insider-attack-138576

Data scraping tool for non-coding journalists launches

A tool which helps non-coding journalists scrape data from websites has launched in public beta today.

Import.io lets you extract data from any website into a spreadsheet simply by mousing over a few rows of information.

Until now import.io, which we reported on back in April, has been available in private developer preview and has been Windows only. It is now also available for Mac and is open to all.

Although import.io plans to charge for some services at a later date, there will always be a free option.

The London-based start-up is trying to solve the problem of the fact that there is "lots of data on the web, but it's difficult to get at", Andrew Fogg, founder of import.io, said in a webinar last week.

Those with the know-how can write a scraper or use an API to get at data, Fogg said. "But imagine if you could turn any website into a spreadsheet or API."

Uses for journalists

Journalists can find stories in data. For example, if I wanted to do a story on the type of journalism jobs being advertised and the salaries offered, I could research this by looking at various websites which advertise journalism jobs.

If I were to gather the data from four different jobs boards and enter the information manually into a spreadsheet it would take would take hours if not days; if I were to write a screen scraper for each of the sites it would require knowledge and would probably take a couple of hours. Using import.io I can create a single dataset from multiple sources in a few minutes.

I can then search and sort the dataset and find out different facts, such as how many unpaid internships are advertised, or how many editors are currently being sought.

How it works

When you download the import.io application you see a web browser. This browser allows you to enter a URL for any site you want to scrape data from.

To take the example of the jobs board, this is structured data, with the job role, description and salaries displayed.

The first step is to set up 'connectors' and to do this you need to teach the system where the data is on the page. This is done by hitting a 'record' button on the right of the browser window and mousing over a few examples, in this case advertised jobs. You then click 'train rows'.

It takes between two and five examples to teach import.io where all of the rows are, Fogg explained in the webinar.

The next step is to declare the type of data and add column names. For example there may be columns for 'job title', 'job description' and 'salary'. Data is then extracted into the table below the browser window.

Data from different websites can then be "mixed" into a single searchable database.

In the example used in the webinar, Fogg demonstrated how import.io could take data relating to rucksacks for sale on a shopping website. The tool can learn the "extraction pattern", Fogg explained, and apply that to to another product. So rather than mousing over the different rows of sleeping bags advertised, for example, import.io was automatically able to detect where the price and product details were on the page as it had learnt the structure from how the rucksacks were organised. The really smart bit is that the data from all products can then be automatically scraped and pulled into the spreadsheet. You can then search 'shoes' and find the data has already been pulled into your database.

When a site changes its code a screen scraper would become ineffective. Import.io has a "resilience to change", Fogg said. It runs tests twice a day and users get notified of any changes and can retrain a connector.

It is worth noting that a site that has been scraped will be able to detect that import.io has extracted the data as it will appear in the source site's web logs.

Case studies

A few organisations have already used import.io for data extraction. Fogg outlined three.

    British Red Cross

The British Red Cross wanted to create an iPhone app with data from the NHS Choices website. The NHS wanted the charity to use the data but the health site does not have an API.

By using import.io, data was scraped from the NHS site. The app is now in the iTunes store and users can use it to enter a postcode to find hospital information based on the data from the NHS site.

"It allowed them to build an API for a website where there wasn't one," Fogg said.

    Hewlett Packard

Fogg explained that Hewlett Packard wanted to monitor the prices of its laptops on retailers' websites.

They used import.io to scrape the data from the various sites and were able monitor the prices at which the laptops were being sold in real-time.

    Recruitment site

A US recruitment firm wanted to set up a system so that when any job vacancy appeared on a competitor's website, they could extract the details and push that into their Salesforce software. The initial solution was to write scrapers, Fogg said, but this was costly and in the end they gave up. Instead they used import.io to scrape the sites and collate the data.


Source: http://www.journalism.co.uk/news/data-scraping-tool-for-non-coding-journalists-launches/s2/a554002/

ScraperWiki lets anyone scrape Twitter data without coding

The Obama administration’s open data mandate announced on Thursday was made all the better by the unveiling of the new ScraperWiki service on Friday. If you’re not familiar with ScraperWiki, it’s a web-scraping service that has been around for a while but has primarily focused on users with some coding chops or data journalists willing to pay to have someone scrape data sets for them. Its new service, though, currently in beta, also makes it possible for anyone to scrape Twitter to create a custom data set without having to write a single line of code.

Taken alone, ScraperWiki isn’t that big of a deal, but it’s part of a huge revolution that has been called the democratization of data. More data is becoming available all the time — whether from the government, corportations or even our own lives — only it’s not of much use unless you’re able to do something with it. ScraperWiki is now one of a growing list of tools dedicated to helping everyone, not just expert data analysts or coders, analyze — and, in its case, generate — the data that matters to them.

After noticing a particularly large numbers of tweets in my stream about flight delays yesterday, I thought I’d test out ScraperWiki’s new Twitter search function by gathering a bunch of tweets directed to @United. The results — from 1,697 tweets dating back to May 3 — are pretty fun to play with, if not that surprising. (Also, I have no idea how far back the tweet search will go or how long it will take using the free account, which is limited to 30 minutes of compute time a day. I just stopped at some point so I could start digging in.)

First things first, I ran my query. Here’s what the data looks like viewed in a table in the ScraperWiki app.

Next, it’s a matter of analyzing it. ScraperWiki lets you view it in a table (like above), export it to Excel or query it using SQL, and will also summarize it for you. This being Twitter data, the natural thing to do seemed to be analyzing it for sentiment. One simple way to do this right inside the ScraperWiki table is to search for a particular term that might suggest joy or anger. I chose a certain four-letter word that begins with f.

Surprisingly, I only found eight instances. Here’s my favorite: “Your Customer Service is better than a hooker. I paid a bunch of money and you’re still…” (You probably get the idea.)

But if you read my “data for dummies” post from January, you know that we mere mortals have tools at our disposal for dealing with text data in a more refined way. IBM’s Many Eyes service won’t let me score tweets for sentiment, but I can get a pretty good idea overall by looking at how words are used. For this job, though, a simple word cloud won’t work, even after filtering out common words, @united and other obvious terms. Think of how “thanks” can be used sarcastically and you can see why.

Using the customized word tree, you can see that “thanks” sometimes means “thanks.” Other times, not so much. I know it’s easy to dwell on the negative, but consider this: “worst” had 28 hits while “best” had 15. One of those was referring to Tito’s vodka and at least three were referring to skyline views. (Click here to access it and search by whatever word you want.)

Here’s a phrase net filtering the results by phrases where the word “for” connects two words.

Anyhow, this was just a fast, simple and fairly crude example of what ScraperWiki now allows users to do, and how that resulting data can be combined with other tools to analyze and visualize it. Obviously, it’s more powerful if you can code, but new tools are supposedly on the way (remember, this is just a beta version) that should make it easier to scrape data from even more sources.

In the long term, though, services like ScraperWiki should become a lot more valuable as tools for helping us generate and analyze data rather than just believe what we’re told. Want to improve your small business, put your life in context or perhaps just write the best book report your teacher has ever seen? It’s getting easier every day.


Source: http://gigaom.com/2013/05/10/scraperwiki-lets-anyone-scrape-twitter-data-without-coding/

What is data scraping and how can I stop it?

Data scraping (also called web scraping) is the process of extracting information from websites. Data scraping focuses on transforming unstructured website content (usually HTML) into structured data which can be stored in a database or spreadsheet.

The way data is scraped from a website is similar to that used by search bots – human web browsing is simulated by using programs (bots) which extract (scrape) the data from a website.

Unfortunately, there is no efficient way to fully protect your website from data scraping. This is so because data scraping programs (also called data scrapers or web scrapers) obtain the same information as your regular web visitors.

Even if you block the IP address of a data scraper, this will not prevent it from accessing your website. Most data scraping bots use large IP address pools and automatically switch the IP address in case one IP gets blocked. And if you block too many IPs, you will most probably block many of your legitimate visitors.

One of the best ways to protect globally accessible data on a website is through copyright protection. This way you can legally protect the intellectual ownership of your website content.

Another way to protect your site content is to password protect it. This way your website data will be available only to people who can authenticate with the correct username and password.


Source: http://kb.siteground.com/what_is_data_scraping_and_how_can_i_stop_it/