Content Analysis Sample Clauses

Content Analysis. An introduction to its methodology. Sage Publications, 1980. ▇▇▇▇▇ ▇▇▇▇▇▇ and ▇▇▇▇▇ ▇▇▇▇▇▇▇▇▇▇. Disambiguating cue phrases in text and speech. In Proceedings of the Thirteenth International Conference on Computational Linguistics (COLING-90), volume 2, pages 251{256, 1990.

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Content Analysis. This part of the sentiment analysis model applies the second module, HyCoR [3]. This is a neural network model that had previously been trained on a large corpus of opinions. Figure 4 presents the generic and the EUNOMIA versions of that model.

Content Analysis. Capable of tracing all incoming requests, and generate up to 4 log files:

Content Analysis. During the open coding process, participant discussion of utilization of a coping strategy was tracked on an Excel file. After coding was completed for each transcript, the NVivo software was used to identify specific codes in that same transcript. The codes that referred to problem- and emotion-focused coping strategies were then noted on the Excel file. The entire transcript was reviewed for identification of utilization of specific coping strategies. Therefore, if evidence for a specific coping strategy appeared in a transcript and was coded one or more times, then that coding strategy would be considered as being utilized by the participant. The quantity of how many times the code emerges in the transcript was not captured. Additionally, the

Content Analysis. The five focus groups conducted had approximately 6-8 participants in each (N=35) and were similar with respect to the sociodemographic characteristics of the participants. Participants in both structured focus groups identified many therapies listed on the original CAM survey that they did not feel were relevant to their experiences (and, in fact, there were several therapies they reported having never heard of prior to the focus group). For example, participants in both groups did not feel that HIV-positive individuals used special diets (e.g., macrobiotic), practiced cleansing regimens (e.g., fasting, using enemas) or took health food supplements (e.g., shark cartilage, barley grass). Though several participants had heard of biofeedback, electrostimulation and light treatments, no one knew of anyone who had ever used these therapies. Most participants had never heard of ozone, metabolic or Chelation therapy. Therefore, these therapies, in addition to several others, were eliminated from the revised survey because they were identified as irrelevant in both structured focus groups and no participants in the unstructured groups offered any conflicting information supporting the inclusion of these therapies. Participants in the structured focus groups commented that though they felt that vitamins should be included, the examples provided on the original survey (vitamin E and selenium) were not the most commonly used vitamins by HIV-positive patients. Multivitamins, vitamin C and calcium were the suggested examples and were therefore included on the revised survey. Similarly, herbal supplements were commonly used, though several participants felt that the revised survey should specifically include Yellow root and milk thistle which were not mentioned on the original survey (which provided Ginkgo biloba and St John’s Wort as examples). Participants in the structured focus groups consistently agreed that vitamins, herbs, chiropractic and acupuncture were important CAM therapies to include and this sentiment was validated by participants in the unstructured groups. Only one of the structured groups felt that aromatherapy should be included (individuals in the other structured group reported not being familiar with the therapy); however, because it was identified by one group it was retained in the revised survey. Meditation, massage, prayer/spiritual healing and counseling/support groups were identified as being relevant therapies in both structured groups. Int...