I am analyzing Travel blogs and trying to find the associated emotions reflected in the travel blogs. Some statements have dual meaning such as "The road is dangerous and it gave me the thrill". Can software effectively analyze it as per coding.
@Michael David Young: My problem is I am analyzing travel blogs to identify the attributes of a destination as discussed by tourists and also the associated sentiments with them. However, I am having difficulty in choosing and finding one software for automated content analysis that could help me analyze the texts as required. Please suggest me some.
The software would allow you to assign codes to the content you suggested as both "dangerous" and "thrilling" and if that happens often enough, you could search for all text segments that had both codes. But note that you still have to do the work of creating and assigning the codes.
Alternatively, if you want to use counts as a form of content analysis, where every segment of text has one and only one code, then no analysis method will deal with the passage you gave, regardless of whether you use software.
Mr. Deep J Gurung. I have been using for the last few years the software that seems the most reliable at the moment. It is Atlas.ti. It is extremely complex and it can produce numerous reports. As per auto coding it is not that reliable, the coding needs to be done mostly manually. Have a look, check their tutorials, see if this is what you need. My recommendation for a proper content analysis support software would be this one. Good luck with your research.
Among the major packages such as ATLAS.ti, MAXQDA, etc. the one with the most "auto-coding" features is NVivo, although they label this part of the program "experimental."
You might also look at at QDA Miner and Leximancer, which are both more texting mining oriented, but also more expensive.