WordStat for Stata
 
WordStat
by
distribuito in esclusiva in Italia da TStat S.r.l.






Product Description

CONTENT ANALYSIS AND TEXT-MINING TOOL FOR STATA

Stata is a complete, integrated statistical software package created by StataCorp LP (www.stata.com). It provides a wide range of statistical analysis, data management, and graphics. Released in June 2013, version 13 added many new features, including a long string data type allowing one to store along with numerical and categorical data, documents up to 2 billion characters. One could thus create a statistical database with journal abstracts, news transcripts, patents, incident reports, customer feedbacks, interviews and so on.Wordstat-box

WordStat for Stata was created to allow Stata 13 and Stata 14 users running under Windows, to apply text analytics techniques on any string variables stored in a Stata data file. WordStat combines natural language processing, content analysis and statistical techniques to quickly extract topics, patterns and relationships in large amount of text. It can process millions of words in seconds and compare extracted themes across any other numerical, categorical or date variables in the Stata file.


WHAT IT IS USED FOR?

WordStat can be used by anyone who needs to quickly extract and analyze information stored in Stata text variables. It may be used for:

• Content analysis of open-ended responses, interview or focus group transcripts
• Business intelligence and competitive web sites analysis
• Information extraction and knowledge discovery from incident reports, customer complaints
• Content analysis of news coverage or scientific literature (scientometrics or bibliometrics studies)
• Automatic tagging and classification of documents
• Fraud detection, authorship attribution, patent analysis
• Taxonomy development and validation
• Etc. (for some examples of studies using WordStat, see the Studies page).


ProSuite is an integrated collection of Provalis Research tools that allow one to explore, analyze and relate both structured and unstructured data. It allows one to perform  advanced computer assisted qualitative coding on documents and images using QDA Miner, to apply the powerful content analysis and text mining features of WordStat on textual data, and to perform advanced statistical analysis on numerical and categorical data using SimStat. - See more at: http://provalisresearch.com/products/prosuite/#sthash.3K2w7Lzr.dpuf
ProSuite is an integrated collection of Provalis Research tools that allow one to explore, analyze and relate both structured and unstructured data. It allows one to perform  advanced computer assisted qualitative coding on documents and images using QDA Miner, to apply the powerful content analysis and text mining features of WordStat on textual data, and to perform advanced statistical analysis on numerical and categorical data using SimStat. - See more at: http://provalisresearch.com/products/prosuite/#sthash.3K2w7Lzr.dpuf

WHAT IS PROSUITE?

ProSuite is an integrated collection of Provalis Research tools that allow one to explore, analyze and relate both structured and unstructured data. It allows one to perform  advanced computer assisted qualitative coding on documents and images using QDA Miner, to apply the powerful content analysis and text mining features of WordStat on textual data, and to perform advanced statistical analysis on numerical and categorical data using SimStat.

Mixing Qualitative and Quantitative Data

The interoperability of QDA Miner, WordStat and SimStat allows researchers to integrate numerical and textual data into a single project and to seamlessly move back and forth between quantitative and qualitative data analysis.  More importantly, the integration of structured and unstructured data into a single data set allows one to explore connections between text responses and numerical or categorical data.  For example, one can easily analyze relationships between closed and open-ended survey questions,  identify social media topic trends over time, find out how supporters’ comments differ from those of detractors, or easily explore differences in word usage between gender, age groups, or geographic locations.

 

Integrating Various Text Analytics Techniques

There are many ways to extract information from textual data. Techniques such as in-depth qualitative data analysis, powerful exploratory text mining, or carefully designed content analysis are just a few examples of the range of approaches available today. Each text analysis method has its own strengths and weaknesses, and no single method is appropriate for all text analysis tasks.  Yet, most text analysis tools on the market today rely on a single approach to text analysis.  At Provalis Research, we are committed to offering a software platform that does not confine researchers and analysts to a single approach, but allows them to choose the one that best fits the research question or the available data.

We also strongly believe that a single text analysis task often profits from combining several methods; our software platforms facilitates this type of integration.  One may thus combine in many ways the automatic content analysis and text mining features of WordStat with the manual coding an annotation available in QDA Miner.

- See more at: http://provalisresearch.com/products/prosuite/#sthash.3K2w7Lzr.dpuf

WHAT IS PROSUITE?

ProSuite is an integrated collection of Provalis Research tools that allow one to explore, analyze and relate both structured and unstructured data. It allows one to perform  advanced computer assisted qualitative coding on documents and images using QDA Miner, to apply the powerful content analysis and text mining features of WordStat on textual data, and to perform advanced statistical analysis on numerical and categorical data using SimStat.

Mixing Qualitative and Quantitative Data

The interoperability of QDA Miner, WordStat and SimStat allows researchers to integrate numerical and textual data into a single project and to seamlessly move back and forth between quantitative and qualitative data analysis.  More importantly, the integration of structured and unstructured data into a single data set allows one to explore connections between text responses and numerical or categorical data.  For example, one can easily analyze relationships between closed and open-ended survey questions,  identify social media topic trends over time, find out how supporters’ comments differ from those of detractors, or easily explore differences in word usage between gender, age groups, or geographic locations.

 

Integrating Various Text Analytics Techniques

There are many ways to extract information from textual data. Techniques such as in-depth qualitative data analysis, powerful exploratory text mining, or carefully designed content analysis are just a few examples of the range of approaches available today. Each text analysis method has its own strengths and weaknesses, and no single method is appropriate for all text analysis tasks.  Yet, most text analysis tools on the market today rely on a single approach to text analysis.  At Provalis Research, we are committed to offering a software platform that does not confine researchers and analysts to a single approach, but allows them to choose the one that best fits the research question or the available data.

We also strongly believe that a single text analysis task often profits from combining several methods; our software platforms facilitates this type of integration.  One may thus combine in many ways the automatic content analysis and text mining features of WordStat with the manual coding an annotation available in QDA Miner.

- See more at: http://provalisresearch.com/products/prosuite/#sthash.3K2w7Lzr.dpuf
ProSuite is an integrated collection of Provalis Research tools that allow one to explore, analyze and relate both structured and unstructured data. It allows one to perform  advanced computer assisted qualitative coding on documents and images using QDA Miner, to apply the powerful content analysis and text mining features of WordStat on textual data, and to perform advanced statistical analysis on numerical and categorical data using SimStat. - See more at: http://provalisresearch.com/products/prosuite/#sthash.3K2w7Lzr.dpuf

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