![]() ![]() In order to obtain meaningful results with Topic Modeling, it is necessary that not only a few documents with very similar most frequent words are analyzed. Prerequisite for performing Topic Modeling in MAXQDA Save the topics in the Questions – Themes – Theories (QTT) workspace or export them to Excel. Create a dictionary with the words per topic. Save the dominant topic per document automatically as a document variable or create corresponding document sets with the respective documents. Name the topics with an abstract term that summarizes the words they contain. In general, it is helpful for the interpretation to use MAXDictio > Keyword in Context or MAXDictio > Word Frequencies in parallel to the Topic Modeling window to check in which contexts words are used and how often they occur. If necessary, exclude more words from the analysis by adding them to the stop word list. If there are many different dominant topics in the documents, even if they are not very diverse thematically, then a model with more topics is probably more appropriate. To evaluate the model, you can also use the Topic Document Matrix, which shows the probability that a topic occurs in a document. Check the model and create alternative models if necessaryĬheck the coherence of the words of the individual topics and, if necessary, try out alternative models with more or fewer topics. MAXQDA defaults to 6 topics, which is rather a small number.Ĭreate the first topic model as described below. The more different and diverse the documents are in their words, the larger the number of topics should be chosen. Create the first modelĬonsider in advance whether you expect many different topics or only a few. Transfer all words that do not carry meaning to a stop word list to ignore them in the later analysis. Get an overview of the words that occur in the texts to be analyzed using the MAXDictio > Word Frequenciesfunction. Preparation: Create a stop word list for the data In general, you should follow these steps when using Topic Modeling in MAXQDA: 1. Recommended procedure for Topic Modeling in MAXQDA The documents can be assigned to document sets according to the dominant topics.The dominant topic in each analyzed document can be recorded in a document variable.You can then use the dictionary for autocoding and dictionary-based content analysis. The identified topics can be saved as dictionary categories containing the corresponding words.Topic Modeling helps you to identify topics in your documents or survey responses and to include the identified topics in your analysis: ![]() Topic Modeling in MAXQDA is primarily used for the exploration of data. Please note: Topic Modeling is only available in TeamCloud projects. ![]()
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