本文探讨了怀旧情绪在Facebook上的表达方式。研究者利用WordStat文本挖掘软件分析了近40万条Facebook帖子，发现人们在Facebook上表达怀旧情绪的主题主要包括家庭、人生故事、历史事件、精神信仰、对生活的感激、浪漫和乐趣等。研究结果表明，Facebook是一个人们表达怀旧情绪的重要平台，怀旧情绪在社交媒体上得到了广泛的体现。文章还介绍了WordStat文本挖掘工具的功能，它可以自动检测和分析文本数据中的重要词语和短语，并进行内容分析。

🤔 **怀旧情绪是复杂的心理结构，可在多种情境下触发，例如重温童年时光或查看纪念亲人的礼物。**怀旧情绪具有双面性，过度沉溺可能阻碍人们展望未来和体验新事物。

👨‍👩‍👧‍👦**Facebook作为最大的社交媒体平台，成为人们怀旧重聚的独特场所。**研究者通过分析近40万条Facebook帖子，发现人们在Facebook上表达怀旧情绪的主题主要包括家庭、人生故事、历史事件、精神信仰、对生活的感激、浪漫和乐趣等。

📊**WordStat文本挖掘工具被用于分析Facebook帖子中的怀旧表达。**该工具可以自动检测和分析文本数据中的重要词语和短语，并进行内容分析，例如识别词语共现和自动编码，最终将帖子内容聚类为九个主题。

📚**研究发现Facebook帖子中存在大量怀旧表达，人们倾向于回顾家庭、人生故事、历史事件等主题。**这表明社交媒体平台成为人们表达怀旧情绪的重要渠道。

🖥️**WordStat文本挖掘工具可以应用于多种文本数据，例如访谈记录、电子文件、公开演讲等。**除了自动分类，WordStat还可以利用现有词典进一步优化输出结果。

Nostalgia, some people see it as a warm fuzzy feeling or a state of mind but it is a complex psychological construct that can be triggered in various ways such as revisiting your childhood neighborhood or looking at gifts reminding you of loved ones. Like many feelings, it’s double-sided! If you become too drawn to it, it may stop you from looking forward and experiencing new things in the world. This is nostalgia overload or the curse of nostalgia! In the digital era, it is easier than ever to reunite with old friends. You can take a virtual tour of a place from the old day! With over 1.8 billion active monthly users, Facebook is the biggest social media network on the Internet.  It also serves as a unique platform for nostalgic reunions with family and friends. It is full of “in the moment” expressions, reflecting nostalgic memories.

In a recent study, Davalos et al. (2015) used WordStat text mining software to analyze nostalgia on Facebook. The authors investigated how people expressed nostalgia in nearly 400,000 Facebook posts and extracted themes of nostalgic conversations.  Using the cluster analysis tool in WordStat, they found the word clusters, hidden themes in the data, as well as the associated words. The Jaccard’s index, also known as intersection over union, was used to assess the similarity. Davalos and his colleagues applied further measures available in WordStat to post process the clusters such as eliminating clusters with only one or two members. Their final solution contained nine clusters. Based on their content analysis, there exists a significant evidence of nostalgic expression in Facebook. The main topics people harkened back to were: family, life stories, historical events such as presidential elections or man on the moon, spirituality, appreciation of life, romanticism and fun.

WordStat, Provalis Research text mining and content analysis tool, is a powerful quantitative content miner which can detect hidden patterns in the text data based on different measures such as word co-occurrences and automatic coding. It can automatically detect and analyze the most important words and phrases and is perfect fit for most text data corpus such as interviews, electronic files, public speeches, etc. In addition to the automatic categorization, WordStat can also apply existing dictionaries to further fine tune the output.