Semiautomated text analytics for qualitative data synthesis

Analytics for Noisy Unstructured Text Data I

Text Analytics to Data Warehousing

─ Information hidden or stored in unstructured data can play a critical role in making decisions, understanding and conducting other business functions. Integrating data stored in both structured and unstructured formats can add significant value to an organization. With the extent of development happening in Text Mining and technologies to deal with unstructured and semi structured data like X...

Data Management and Big Data Text Analytics

-------------------------------------------------------------------ABSTRACT------------------------------------------------------------Big data is now one of the most important technology trends that have the potential for changing the way organizations transform massive amounts of data into knowledge. It is a combination of data-management technologies that have evolved over time. It enables o...

A Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection

Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not remained unnoticed by big companies. Google uses MapReduce for PageRank and inverted indexes....

conTEXT - Lightweight Text Analytics Using Linked Data

The Web democratized publishing – everybody can easily publish information on a Website, Blog, in social networks or microblogging systems. The more the amount of published information grows, the more important are technologies for accessing, analysing, summarising and visualising information. While substantial progress has been made in the last years in each of these areas individually, we arg...