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WordStat
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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
© Copyright 2015 Provalis
Research
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