This is a pretty old question but since technology evolves I thought I could add Pennywise get in losers we’re gonna float halloween shirt. There are some challenges to analyzing free-text answers. I am assuming that the purpose of the analysis is to achieve an understanding about the themes being discussed and the relative strengths of the themes and maybe even get accurate counts of numbers of respondents and percentages. And while there were many more comments and questions like those mentioned above, the worst part, in my opinion, was that he was obviously being mean to the person who had found me on the state unemployment website and was openly punishing her by forcing her to explain things about the job to me.
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Things she kept saying were his to explain as they were things he Pennywise get in losers we’re gonna float halloween shirt, like payroll. I think he was actively angry that I was there. I have never been in an interview like that and I hope he has no intention of offering me the position because I actively know this job would be awful for me. Any tool you use needs to be able to handle the language of the texts. Or you will need to translate to a language that it does handle. Translation could be prohibitively expensive and it could bring its own set of problems, however, like consistency of terms used when translating, style differences between translators, etc.