There are several tools to perform a text data mining analysis but several of them require extra information (i.e. chromosome region) instead phenotype or diseases notation (i.e. diseases name or related keywords).
The resulting binary matrix was exported in the form of comma-separated text for data analysis.
Minimally, substantial editorial changes in the text, figures, and data analysis are required.
No new experiments are required, but we ask you to address their concerns related to experimental conditions (osmolarity), text editing and data analysis, which you will find below in the original comments.
Texts on qualitative data analysis generally recommend such an approach, where findings of ongoing analysis serve to help focus future data collection.
In order to increase the usefulness of free-text data, an analysis could be more closely aligned and related to the relevant closed questions data, so that all parts of the survey work together to suggest how improvements can be best targeted.
The data collection module to record the fine grain of text production processes; The data analysis module to perform quantitative analyses (e.g. pauses, document switch, revisions); The 'play' module to play the recording of the writing session (see Additional file 1: Appendix B for a screen shot).
Table 1 An illustration of a possible application of AKAAS and Knowledge Analytics in the context of cloud customers Knowledge Processes K-Analytics Benefits Capturing/Creating Knowledge □ Search query/search logs data analysis (text mining & clustering) □ Identification of knowledge needs and services requirements □ What has been created?
Using natural language processing, text mining, and other data analysis techniques, we then examined the demographics and structure of the scientific collaboration network, the dynamics of the field over time, major research trends, and the structure of the sources of research funding.
