Security applications[ edit ] Many text mining software packages are marketed for security applicationsespecially monitoring and analysis of online plain text sources such as Internet newsblogsetc. Biomedical text mining A range of text mining applications in the biomedical literature has been described.
Protein Docking  One online text mining application in the text literature is PubGene that combines biomedical text mining with network visualization as an Internet service.
Software applications[ edit ] Text mining methods and software is also being researched and developed by major firms, including IBM and Microsoftto further automate the mining and analysis processes, and by different firms working in the area of search and indexing in general as a way to improve their results. Within public sector much effort has been concentrated on creating software for tracking and monitoring terrorist activities.
Additionally, on the back end, editors are benefiting by being able to share, associate and package news across properties, significantly increasing opportunities to monetize content. Business and marketing applications[ edit ] Text mining is starting to be used in marketing as well, more specifically in analytical customer relationship management.
Resources for affectivity of words and concepts have been made for WordNet  and ConceptNet respectively. Text has what used to detect emotions in the related area of affective computing. Academic applications[ edit ] The issue of text mining is of importance to publishers who hold large databases of information needing indexing for retrieval.
This is what true in scientific disciplines, in which highly specific information is often contained within written text. Academic institutions mining also become involved in the text mining initiative: With an initial focus on text mining in the biological and biomedical sciences, research has since expanded into the areas of social sciences. In the United States, the School of Information at University of California, Berkeley is developing a program called BioText to assist biology text in text mining and analysis.
The Text Analysis Portal for Research TAPoRcurrently housed at the University of Albertais a scholarly project to catalogue text analysis applications and create a gateway for researchers new to the practice. Digital humanities and text sociology[ edit ] The what analysis of vast textual corpora has created the possibility for scholars to analyse millions of documents in multiple languages with very limited manual intervention. Key enabling mining have been parsing, machine translation, topic categorization, and machine learning.
Narrative network what US Elections  The automatic parsing of textual corpora has enabled the extraction of actors and their relational networks on a vast scale, turning textual data into network data.
The resulting networks, which can contain thousands of nodes, are then analysed by using tools from network theory to identify the key actors, what key communities or parties, and general properties such as robustness or structural stability of the overall network, or centrality of certain nodes.
The automation of mining analysis has allowed a ” big mining ” revolution to take place in that field, with studies in social media and newspaper content that include millions of news items.