![]() ![]() These word counts are central to many powerful forms of computer aided text analysis. Computers can count words almost instantly. It would take you weeks to count how many times different every different word appears in even one text. Read more stuff than you could feasibly read yourself.We use computers to help with text analysis because they can help us spot trends or themes that we might miss otherwise. Computer-assisted textual analysis just means that you use some type of computing to help. You are doing textual analysis any time you look at a text and pull out a deeper meaning. Why use computers to assist you with text analysis? Are your texts in the public domain and already digitized? If not, your work isn’t impossible, but it can get tricky! Do you know what sort of corpus (what body of texts) you might want to work with? Once you know your data and research question, you can start to think about how you will conduct your research. Find out what resources (text data) relevant to you project are available to you. Then, imagine what kinds of texts might contain insights into your critical gap or research question?. ![]() Dream big - what can you imagine learning that is new, exciting, or useful?.Don't constrain yourself yet be imaginative! Just like with any other scholarship, the most important first step is to identify the critical gap which your research will answer. Start with a question you want to answer, not with a specific tool or method. ![]() Usually, this involves comparing these counts of classifications between a few or many documents. Some of these tools and methods are more advanced than others, but even the most complicated methods often first count words. On its most basic level, most textual analysis methods work by counting and classifying words or phrases within texts. ![]()
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