He amount of a standard essay (like a weblog or perhaps a media commentary) on the net. Nonetheless, as the length of text drops, the possibility of errors created by the psychological semantic dictionary may well improve. It appears that SCLIWC did execute better in detecting psychological expressions in analyzing texts with larger variety of words, nonetheless in addition, it showed high validity in lots of categories on the texts as brief as a day’s Weibo statuses (three? statuses) in present study. Apart from the scoring strategy of word count, which can be probably the most prevalent way inside the use of psychological semantic dictionaries, status count may very well be an additional available scoring strategy in analyzing a group of Weibo statuses applying SCLIWC. We also calculate the correlation coefficients among human ratings and also the status count scores of each categories on a day’s, a week’s as well as a month’s Weibo statuses. As shown in Table three, for most in the categories in which there was significant correlation among human ratings and SCLIWC scores, the coefficients became larger when working with the status count scoring approach, particularly around the categories of cognitive processes. The consistency in the changing trends of correlation coefficients in all of the four groups of SCLIWC categories implied that, when analyzing Weibo statuses the scoring method of status count might show much better effect than word count, and this discovering was correct for distinctive amount of Weibo statuses. When evaluating a month’s Weibo statuses, the correlations among human ratings and SCLIWC scores have been important or marginally significant in all the selected categories in our study PubMed ID:http://www.ncbi.nlm.nih.gov/pubmed/21187425 while employing status count process, and the majority of them achieved medium correlation, which confirmed that the dictionary SCLIWC does be a valid tool in detecting psychological expressions in Weibo statuses, if used in a appropriate way.StudyOn social medias such as Sina Weibo, a status was the natural unit expressing a total thought, as well as the unit of interpreting the expressions by social media users. In Study 1, the outstanding functionality of SCLIWC status count score in detecting psychological expressions in Weibo statuses purchase MRE-269 raised a additional question: regardless of whether this system might be utilised to make judgments around the psychological meanings of a single Weibo status? If a single status could be classified as particular SCLIWC categories automatically and accurately based on its psychological meaning, the scope of application of SCLIWC would be further expanded. To answer this question, we performed Study 2, which was aimed at evaluating the validity of SCLIWC for identification in the psychological which means of a single Weibo status. With reference to Bantum and Owen’s strategy [29], we applied signal-detection theory [35] and the signal-detection indices to quantify the accuracy of SCLIWC identification. For our objective to estimate no matter whether a Weibo status having a word of a SCLIWC category does expressing the which means of that category, a signal will be the expression of the psychological which means of a specific category, and noise will be the lack of such expression. Four signal-detection indices sensitivity, specificity, constructive predictive worth and adverse predictive value, were utilized in this study. Sensitivity was the probability that a status which is actually representative from the psychological expression of a SCLIWC category would be identified by SCLIWC as belonging precisely the same category. Specificity was the probability that a status not expressing the meaning of a SCLIWC category would be.
