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Provalis Research
Provalis Research is a Canadian company that specializes in developing and marketing text analytics tools combining qualitative analysis through QDA Miner with quantitative content analysis and text-mining through WordStat. Headquartered in Montreal, the company was founded in 1989 by the current president Normand Peladeau. Provalis Research software products are used by more than 6,000 institutions including universities, governments/NGOs and businesses. See also * QDA Miner * WordStat * Computer assisted qualitative data analysis software * Content analysis * Text mining Text mining, also referred to as ''text data mining'', similar to text analytics, is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extract ... References * * * * External links * {{Official website, http://www.provalisresearch.com QDA software ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Montreal
Montreal ( ; officially Montréal, ) is the second-most populous city in Canada and most populous city in the Canadian province of Quebec. Founded in 1642 as '' Ville-Marie'', or "City of Mary", it is named after Mount Royal, the triple-peaked hill around which the early city of Ville-Marie is built. The city is centred on the Island of Montreal, which obtained its name from the same origin as the city, and a few much smaller peripheral islands, the largest of which is Île Bizard. The city is east of the national capital Ottawa, and southwest of the provincial capital, Quebec City. As of 2021, the city had a population of 1,762,949, and a metropolitan population of 4,291,732, making it the second-largest city, and second-largest metropolitan area in Canada. French is the city's official language. In 2021, it was spoken at home by 59.1% of the population and 69.2% in the Montreal Census Metropolitan Area. Overall, 85.7% of the population of the city of Montreal co ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Text Analytics
Text mining, also referred to as ''text data mining'', similar to text analytics, is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles. High-quality information is typically obtained by devising patterns and trends by means such as statistical pattern learning. According to Hotho et al. (2005) we can distinguish between three different perspectives of text mining: information extraction, data mining, and a KDD (Knowledge Discovery in Databases) process. Text mining usually involves the process of structuring the input text (usually parsing, along with the addition of some derived linguistic features and the removal of others, and subsequent insertion into a database), deriving patterns within the structured data, and finally evaluation and ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
WordStat
WordStat is a content analysis and text mining software. It was first released in 1998 after being developed by Normand Peladeau from Provalis Research. The latest version 9 was released in 2021. The software is mainly used for business intelligence and competitive analysis of web sites, sentiment analysis, content analysis of open-ended questions, theme extraction from social media data, etc. Some features of WordStat 9 * Categorization of content using user defined dictionaries. * Classification of documents using Naïve-Bayes or k-nearest neighbor algorithms applied either on words or concepts. * Automatic topic extraction using first order (word co-occurrences) or second order (co-occurrence profiles) hierarchical clustering and multidimensional scaling. * Topic modeling to extract the main themes using NNMF and Factor Analysis. * Correspondence analysis in order to identify words or concepts (or content categories) associated with any categorical meta-data associated with ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Computer Assisted Qualitative Data Analysis Software
Computer-assisted (or aided) qualitative data analysis software (CAQDAS) offers tools that assist with qualitative research such as transcription analysis, coding and text interpretation, recursive abstraction, content analysis, discourse analysis, grounded theory methodology, etc. Definition CAQDAS is used in psychology, marketing research, ethnography, public health and other social sciences. The CAQDAS networking project lists the following tools a CAQDAS program should have: * Content searching tools * Coding tools * Linking tools * Mapping or networking tools * Query tools * Writing and annotation tools Comparison of CAQDAS software Project Exchange Format In March 2019 the Rotterdam Exchange Format Initiative (REFI) launched a new open exchange standard for qualitative data called QDA-XML. The aim is to allow users to bring coded qualitative data from one software package to another. Initially support was included in Atlas.ti, QDA Miner, Quirkos and Transana, and is ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Content Analysis
Content analysis is the study of documents and communication artifacts, which might be texts of various formats, pictures, audio or video. Social scientists use content analysis to examine patterns in communication in a replicable and systematic manner. One of the key advantages of using content analysis to analyse social phenomena is its non-invasive nature, in contrast to simulating social experiences or collecting survey answers. Practices and philosophies of content analysis vary between academic disciplines. They all involve systematic reading or observation of texts or artifacts which are assigned labels (sometimes called codes) to indicate the presence of interesting, meaningful pieces of content. By systematically labeling the content of a set of texts, researchers can analyse patterns of content quantitatively using statistical methods, or use qualitative methods to analyse meanings of content within texts. Computers are increasingly used in content analysis to autom ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Text Mining
Text mining, also referred to as ''text data mining'', similar to text analytics, is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles. High-quality information is typically obtained by devising patterns and trends by means such as statistical pattern learning. According to Hotho et al. (2005) we can distinguish between three different perspectives of text mining: information extraction, data mining, and a KDD (Knowledge Discovery in Databases) process. Text mining usually involves the process of structuring the input text (usually parsing, along with the addition of some derived linguistic features and the removal of others, and subsequent insertion into a database), deriving patterns within the structured data, and finally evaluation and int ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
