Harvest Web Data in Multiple Languages with Unstructured Data Mining and Deep Web Search

The Internet knows nearly no limit when it comes to languages. The social media platform Facebook, for example, is available in over 100 languages. And that’s just the beginning.

Hundreds of languages also make up areas of the Deep Web and Dark Web. If businesses want to gain complete data insight into their organization, it becomes necessary to effectively harvest and interpret data from languages other than English.

Learn how BrightPlanet partners with Rosoka to utilize unstructured data mining and Deep Web search to harvest data in nearly any language, interpreting its meaning to provide deeper insight into the opportunities and threats that exist for businesses today.

Harvesting Foreign Deep Web Data

BrightPlanet’s process for harvesting web data in a foreign language is the same process it uses to harvest a web page in English.

For example, an online article about leukemia written in English is harvested the same as an article about leukemia written in Dutch, Arabic, or Portuguese. BrightPlanet navigates each page and stores and archives all text from that page. This process works with any language that can be written using characters of some sort online.

Curating Foreign Data to Identify Patterns

While harvesting foreign data isn’t too difficult, the challenge comes when analyzing documents of different languages and comparing them for similar and contrasting content.

BrightPlanet works with text analytics solutions partner, Rosoka, to enrich unstructured data that has been harvested through Deep Web search or Dark Web search through the process of entity extraction.

Rosoka has the ability to detect key entities in multiple languages, meaning it is able to extract main keywords and themes from content in over 200 languages.

If Rosoka harvested three different articles about leukemia written in English, Dutch, and Portuguese, it would be able to recognize the main theme of the disease without needing to perform a full-size machine extraction, saving valuable time.

Another advantage to using Rosoka and BrightPlanet to harvest data in other languages is our ability to normalize extracted tags into one instance, regardless of language. For example, even though the three example articles mentioned above are all written in different languages, we are able to create a common link between the three, simply referring to “leukemia” instead of each individual tag.

Not only can Rosoka identify common keywords and themes among different languages, it can also identify sentiments such as mood and intensity of voice among entities and entire documents. This feature allows organizations to dig deeper into their data, discovering the passions and decisions that are the driving force behind data points.

Once you have this harvested data, BrightPlanet works Rosoka to give you the content in the language you primarily use, from English to Russian.  

LEARN ABOUT ROSOKA'S ENTITY EXTRACTION PROCESS

Develop Business Insight through Unstructured Data Mining of Foreign Languages

Harvesting foreign language data can be an overwhelming topic to address for businesses. Many people don’t always realize the potential increased business insight that comes with foreign language entity extraction.

BrightPlanet works to provide the best possible foreign language data extraction services that allow you to protect your business against possible domestic and foreign dangers such as fraud, while also giving you insight into potential business opportunities.

No matter what your data harvest needs are, BrightPlanet can help. Schedule a consultation with one of our Data Acquisition Engineers and learn how you can increase your business intelligence.

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