تحلیل محتوای متن شهر مبتنی بر کاربست اصطلاحات عامیانه زبان در ارزش گذاری محله و مسکن: مورد پژوهی تهران

The purpose of this study is to use linguistic concepts and slang phrases in analyzing the content of the city text. The method used in this research is qualitative content analysis with an inductive approach. For data collection, ۳۷ real estate consultants from ۲۲ districts of Tehran were selected for interviews by the accessible sampling method. They were asked to express slang phrases that are widely used in the field of residential transactions and the introduction of neighborhoods. Also, by referring to the real estate advertisements on the online platforms including Divar and Sheypoor, as well as the real estate consultants’ pages on the Instagram App, similar phrases were extracted. Next, the process of coding and categorizing these phrases was done in such a way that all phrases that had a common semantic theme were placed in the same category. Accordingly, ۸ categories affecting the valuation of housing and neighborhoods based on slang phrases in terms of percentage of repetition were obtained, respectively, which are: ۱- geographical features of the building land in the neighborhood and the city; ۲- legal features; ۳- building welfare facilities; ۴- natural, climatic features and environmental conditions of the building; ۵- properties of materials and life of the building; ۶- slang features; ۷- building service facilities; and ۸- building engineering features. In terms of residential and neighborhood valuation in the context of the city, ۵ categories are distorted, incorrect, or more than intrinsic value, and only ۳ categories have parity equal to intrinsic value.

کلیدواژه ها:

تحلیل محتوا ، متن شهر ، مسکن و محله ، اصطلاحات عامیانه