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WordStat是一種靈活和便於使用的文本分析軟體 — —
無論您需要的主題和趨勢或與先進的定量內容分析工具的認真和精確測量的快速提取的文本挖掘工具。 |
A highly advanced content analysis and text-mining software with
unmatched handling and analysis capabilities,
WordStat is a flexible and easy-to-use text analysis software –
whether you need text mining tools for fast extraction of themes and
trends, or careful and precise measurement with state-of-the-art
quantitative content analysis tools. WordStat‘s seamless integration
with SimStat – our statistical data analysis tool – and
QDA Miner –
our qualitative data analysis software – gives you unprecedented
flexibility for analyzing text and relating its content to
structured information, including numerical and categorical data.
What it is used for?
WordStat can be used by anyone who needs to quickly extract and
analyze information from large amounts of documents. Our content
analysis and text mining software is 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
• Automatic tagging and classification of documents
• Fraud detection, authorship attribution, patent analysis
• Taxonomy development and validation
Key and Unique features
Powerful content analysis and text mining software for
handling large amounts of unstructured information. WordStat can
process up to 20 million words per minute and identify all
references to user-defined concepts using categorization
dictionaries.
Integrated exploratory text mining and visualization
tools such as clustering, multidimensional scaling, proximity
plots, and more, to quickly extract themes and automatically
identify patterns.
Relates unstructured text with structured data such as dates,
numbers or categorical data for identifying temporal trends or
differences between subgroups or for assessing relationship with
ratings or other kinds of categorical or numerical data.
Use existing or create your own hierarchical content analysis
dictionaries or taxonomies composed of words, word patterns,
phrases as well as proximity rules (such as NEAR, AFTER, BEFORE) for
achieving precise measurement of concepts.
Truly unique computer assistance for dictionary building
with tools for extracting common phrases and technical terms and for
quickly identifying in your text collection, misspellings, synonyms,
antonyms and related words.
One click access to keyword-in-context and keyword retrieval
tools for easy identification and coding of relevant text
segments, validation of content analysis dictionaries, word-sense
disambiguation or for drilling down to the source documents.
Seamless integration with a state of the art qualitative
coding tool (QDA Miner), allows more precise exploration of data
or more in-depth analysis of specific documents or extracted text
segments when needed.
Machine Learning for automatic document classification using
Naive Bayes and K-Nearest Neighbours algorithms with automatic
features selection and validation tools. Classification models may
then be saved on disk and reapplied on new data.
Easy importation of databases, spreadsheets and documents
(including PDF and HTML) as well as exportation of text
analysis results to common industry file formats (Excel, SPSS,
ASCII, HTML, XML, MS Word) and graphs (PNG, BMP and JPEG).
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