@proceedings {2010, title = {Machine Learning and Rule-Based Automated Coding of Qualitative Data}, year = {2010}, month = {10/2010}, address = {Pittsburgh, PA}, abstract = {Researchers often employ qualitative research approaches but large volumes of textual data pose considerable challenges to manual coding. In this research, we explore how to implement fully or semi-automatic coding on textual data (specifically, electronic messages) by leveraging Natural Language Processing (NLP). In particular, we compare the performance of human-developed NLP rules to those inferred by machine learning algorithms. The experimental results suggest that NLP with machine learning can be an effective way to assist researchers in coding qualitative data. }, keywords = {FLOSS, NLP}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/ml_nlp.pdf , https://crowston.syr.edu/sites/crowston.syr.edu/files/ASIST\%20poster\%202p\%20final.pdf}, author = {Kevin Crowston and Xiaozhong Liu and Allen, Eileen E. and Heckman, Robert} } @proceedings {Roussinov:2001a, title = {Genre based navigation on the Web}, year = {2001}, publisher = {IEEE}, address = {Maui, HI, January}, abstract = {We report on our ongoing study of using the genre of Web pages to facilitate information exploration. By genre, we mean socially recognized regularities of form and purpose in documents (e.g., a letter, a memo, a research paper). Our study had three phases. First, through a user study, we identified genres which most/least frequently meet searchers{\textquoteright} information needs. We found that certain genres are better suited for certain types of needs. We identified five (5) major groups of document genres that might be used in an interactive search tool that would allow genrebased navigation. We tried to balance the following dual objectives: 1) each group should be recognizable by a computer algorithm as easily as possible 2) each group has a better chance of satisfying particular types of information needs. Finally, we developed a novel user interface for a web searching that allows genre-based navigation through three major functionalities: 1) limiting search to specified genres 2) visualizing the hierarchy of genres discovered in the search results and 3) accepting user feedback on the relevancy of the specified genres.}, isbn = {0-7695-0981-9 }, doi = {10.1109/HICSS.2001.926478}, attachments = {https://crowston.syr.edu/sites/crowston.syr.edu/files/09814013.pdf}, author = {Roussinov, Dmitri and Kevin Crowston and Nilan, Michael and Kwa{\'s}nik, Barbara H. and Xiaozhong Liu and Cai, J.} }