A Nethnography has to use a Computer Assisted Qualitative Data Analysis on certain parts of the texts collected during his research. In a forum use case, these texts would be posts and threads. If the researcher has to browse the forum and manually copy and paste its content, a huge amount of effort would be required. However, this obstacle could be surpassed through scraping the forum with a Custom extraction.

    A scraped forum is a jewel: perfectly ordered textual data corresponding to each thread, ready for further analysis, Example below.

Sample

URL

http://consumerist.com/

The Consumerist empowers consumers by informing and entertaining them about the top consumer issues of the day. We are a leading online resource for consumer-driven advice about dealing with everything from non-existent customer service to onerous cell-phone contracts to ever-shrinking (and ever-more-expensive) grocery products.

Scraped totally 2732 Articles, Ready to analysis.

If you need more samples, Please mail us.
crawlingindia@gmail.com

Social Media Netnography - by Annelies Verhaeghe

Netnography one methodology to have a closer look at in this context is social media netnography or the discipline of analyzing online conversations that consumers spontaneously share on social media. we were all wildly enthusiastic about the large amount of consumer opinions that we suddenly had available. For years, the industry had been suffering from low response rates and troubles in motivating consumers to give their opinion through traditional research methods. As a result, many new (more technological driven) players also entered the research market. I remembered that at a certain moment in time, I counted over 100 providers in this domain during a competitor analysis. It seemed like we had found the Holy Grail.

And yes, after each success, we have a period of reflection. Critical questions were raised about the reliability and validity of social media netnography.

Is sentiment analysis really reliable?

Is this representative?

How to guarantee data quality?

We also saw a consolidation within the market and a lot of startup companies were integrated within existing firms. Social media netnography today is becoming more and more an established methodology with clear guidelines and best practices. One can however wonder what’s next. Are we there yet? In my opinion, we are transforming again.

The next big wave in netnography will be all about consumer insights

Technology is helping us a great deal when it comes to social media monitoring. However, consumers only talk about topics online where they are engaged about. Therefore it remains a great source to detect new consumer needs or to detect the rules of consumer engagement an sich. Netnography is no longer focusing on data access. It is focusing on finding new ways of turning information into insights.

Integration of social media netnography with other methods will be key

If we want new & fresh content, we need to know what the client already knows. An increasing focus will take place on in-company workshops aiming at identifying current knowledge and assumptions within the company. We will see more synergies between natural and research communities which will allow us to understand the ‘why’ behind the conversations. Integration with other data sources will be equally important. Big data is a popular term (maybe the new hype) but it definitely could help us give more context to our data source. For example, many clients use social media netnography to investigate the health of their digital platform. It is a must in this type of research to link online conversations also to more behavioral measures like number of likes, number of visits to the pages, etc. In this context, we will also have an increasing importance of visual user-generated-content. A picture is a thousand of words and therefore a great source of providing context.

we will go more and more beyond the data. The real shift will be one from data to interpretations. The future of netnography is not to measure what is already there. It is to measure what this information does with consumers. One can wonder what the point is of measuring the number of brand mentions on a page if this brand was not even noticed by the consumer. Also, we only take contributions of active consumers into account whereas we should also study how we can activate the passive visitors. It is time to shift social media netnography again.

Good day!

Greetings from CrawlingIndia!

About us:

We are freelancer's Using high-end technologies for data collection - Market Research.

Collecting data from on-line communities like discussion boards, blogs and social networks.

Crawlingindia provides the most comprehensive set of natural language processing capabilities of any text mining platform, including: sentiment extraction, author extraction, relations extraction, quotations extraction, intent mining, comments extraction

Crawlingindia uses deep linguistic parsing, statistical natural language processing, and machine learning to analyze your content, extracting semantic meta-data: information about people, places, companies, topics, languages, and more.

Please visit our blog to view our samples.

Crawlingindia.blogspot.in

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CrawlingIndia

Gmail : crawlingindia@gmail.com

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Twitter: @crawlingindia

Text Extraction / Web Page Cleaning

CrawlingIndia provides easy-to-use mechanisms to extract page text and title information from any web page.

A HTML page cleaning facility is provided, which normalizes / cleans HTML content (removing ads, navigation links, and other unimportant content), enabling extraction of only the important article text.

Doing Market Research with Social Media

Observational social media research

involves analyzing social media data without intervention or interaction from the researcher.  In this mode of research, you search for, look at, collect, synthesize, and analyze data that exist in the social media sphere (blogs, newsgroups, forums, message boards, and microblogs).  The goal is to measure and gauge public awareness and sentiment of issues, products, or brands.  Not long ago I headed up a panel of industry thought leaders that focused on this type of social media research, and what it might mean for our industry.

How Social Media gives important for Brand Marketing

Social media plays an important role in how consumers discover, research, and share information about brands and products. In fact 60% of consumers researching products through multiple online sources learned about a specific brand or retailer through social networking sites. Active social media users are more likely to read product reviews online, and 3 out of 5 create their own reviews of products and services. Women are more likely than men to tell others about products that they like (81% of females vs. 72% of males). Overall consumer-generated reviews and product ratings are the most preferred sources of product information among social media users.

Data mining: the marketing research of the future

Shawn Hessinger shares results of a recent study by Cambiar Partners, a market research consulting firm, which suggests data mining will rule market research in the future, and Web-based data companies like Google and Facebook could be the top marketing research firms.

For the study, Cambiar asked 274 corporate researchers and research senior executives to project out to 2020 about the changes they see coming for the field of marketing research. It compiled results in its Future of Research Report, released late last year.

Hessinger shares the most significant findings, including:

•           Three out of four researchers believe “mining of existing knowledge” will be the main kind of market research conducted in the future as opposed to new research projects. A majority also believe “emotion measurement” will be significant, though exactly what form this measurement might take remains vague. “The jury is still out” on whether techniques like neuroscience and biometrics are viable options, Cambiar noted in the report.

•           One quarter of corporate researchers surveyed think the leading research company of 2020 doesn’t exist today, and another one-fifth expect that leading company to be either Google or Facebook. In a world in which “mining of existing knowledge” becomes the main kind of market research, it makes sense that a search tool or social platform already managing almost limitless data would lead the pack.

The findings may suggest a major role for text analytics and sentiment analysis in the future of marketing research. Market researchers would use text analytics to identify brand mentions in social media and other customer-generated data, and sentiment analysis to measure the general attitude toward those brands.

For more details, see the full blog post on allanalytics.com. For more on harnessing data for marketing effectiveness, check out this white paper.

What do you think? Will collecting and mining existing customer data take the place of new market research projects? Leave your comments below.

Monitor on-line conversations

We live in the era of big data. Those companies have a competitive advantage that collect the most data about their prospects and customers and transform it into useful information. Predicting what a customer wants to buy and when he is willing to purchase is in the crystal ball in which every company wants to look in. This knowledge enables them to address their customers with relevant offers specifically tailored at their needs. Therefore the aim of a company in our days should be to possess as many personal and behavioral data of their customers as possible.

But how do you get to know your customers? Market research and customer satisfaction analyses are established ways that are applied by most companies. A large amount of interactional data and social insights about customers and customer behavior are generated by transactions, e.g. in web statistics or customer communications., Message boards, blogs Also geo-based data are important sources of information that are used for analytics. Tracking those data and using the retrieved knowledge can create further business opportunities.

Nonetheless, it is not enough to only invest in business analytics. What a company needs is an overall data strategy across departments to generate the necessary customer insights. This data strategy is closely linked to a customer-centric strategy: If customer experience stands in the center of a company’s business activities, the only logical consequence is to know as much as possible about each single customer. Since with whom do you have the best relationships? Right: the persons you know best.

To enable a successful implementation, however, it is necessary to break through the current silo-structure in a company (marketing, sales, service, …). There has to be an organization-wide approach instead of a department (silo) approach. This means not only to integrate touch points across channels but to ensure that all business activities are truly customer-centric and data-driven. Every department has to have one integrated aim: retrieve as many data as possible and communicate these insights into the company. 

Without the support of integrated business processes and IT systems it is impossible to pursue a company-wide data strategy. But it is also essential to change into a data-driven culture. Only if every employee in a company has incorporated the necessary mindset and works in an environment that emphasizes quality data generation, the transformation can be successful.

When your company is now starting the journey to become a data-driven organization, some simple guidelines can support you:

• Deliver value to customers to make them voluntarily provide data
• Engage your customers in a personal way to encourage involvement
• Support multichannel customer interactions
• Analyze online conversations about your products and services
• Track customer behavior (online and offline)

Work Sample

scraping comments from blog.

INPUT URL:

http://www.autoblog.com/2012/05/15/salon-columnist-asks-is-it-ethical-to-drive-stick/#aolc=BKaPdA

OUTPUT XML :

<root>

          <message_url>http://www.autoblog.com/2012/05/15/salon-columnist-asks-is-it-ethical-to-drive-stick/#aolc=BKaPdA</message_url>

          <site_url>www.autoblog.com (http://www.autoblog.com) Blog</site_url>

          <title>Salon columnist asks, &quot;Is it ethical to drive stick?&quot; [w/poll]</title>

          <thread-no>salon-columnist-asks-is-it-ethical-to-drive-stick</thread_no>

          <writer_name>mavness</writer_name>

          < writer_url></ writer_url>

          <posted_date>05/15/2012</posted_date>

          <posted_time>211654</posted_time>

          <post_id>1347429289</post_id>

          <subtitle></subtitle>

          <message>20.5% of people reading this can&apos;t drive stick</message>

          <message_no>1347429289</message_no> 

          <source_url>http://www.autoblog.com</source_url>

</root>

Please share your valuable comments,,,,,

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Consumer insights media

Measuring the impact of a new Technology product launch, identifying the positive points and negative points, can do domains like Consumer Packaged Goods, Financial Services, Healthcare, Technology and other sectors. 

We can Do!

To scraping more no of value of data’s from social networking sites for research and analytics we won’t provide you duplicate or spam data’s we can able to scrape more than 10 languages and delivers it to your secure way, data will be delivered in XML format, you can integrate with your internal or external database.