基于内容分析法的阅读类APP用户使用偏好研究

Reading APP Users Preference Based on Content Analysis

中文关键词: 内容分析法  阅读类APP  词频计算  需求编码  偏好模型

英文关键词: content analysis  reading APP  word frequency calculation  demand coding  preference model

中文摘要:

      目的 通过对阅读类APP的用户评价文本进行语意分析，挖掘用户的潜在需求和使用偏好，为此类产品提供优化设计方向。方法 通过内容分析法进行用户使用偏好研究。首先选择一些评分较高的阅读类APP的用户评价，对文本进行归纳和整理。其次利用ROST CM6软件对用户评价文本进行语句的拆解和词频的计算。再对用户的需求进行编码和排序，量化分析用户在使用阅读类APP时的偏好度，明确优化设计方向，构建阅读类APP的偏好模型，并对模型结果进行应用和验证。结论 通过阅读类APP用户评价可以定性分析用户对产品的满意度，定量挖掘用户潜在的需求和偏好，从而明确此类产品的优化设计方向，培养用户养成良好的阅读习惯，提高其阅读质量，最终提升用户的使用效率和满意度。

英文摘要:

      Through semantic analysis of user evaluation texts of reading APPs, the potential needs and preferences of users are explored to provide optimization design directions for such products. Conduct user preference research through content analysis. First, select some user evaluations of high-scoring reading APPs, and summarize and organize the texts. Secondly, use ROST CM6 software to disassemble sentences of user evaluation text and calculate the word frequency. Then, code and sort the user’s needs, quantitatively analyze the user's preference when using reading APPs, clarify the optimization design direction, build a preference model for reading APPs, and apply and verify the model results. Through the user evaluation of reading APPs, it is possible to qualitatively analyze the user’s satisfaction with the product, and quantify the potential needs and preferences of users, so as to clarify the optimization design direction, cultivate users to develop good reading habits, improve the reading quality and finally improve users' usage efficiency and satisfaction.