My suggestion would be to start with Voyant (https://voyant-tools.org/) and use tools like Document Terms, Contexts, Correlations, and Collocates (and maybe Topics) to see if you can get useful results that way. NVivo definitely has some powerful tools, but it isn't particularly easy to use so unless you need it for something like sentiment analysis, you may be better off using something simpler like Voyant. Source: about 1 year ago
I am aware of NetBase Quid and Primer.Ai, but their prices start at tens thousands $$$ a year. Then I know some tools like https://textrazor.com/ but it's too technical and works through an API. https://voyant-tools.org/ is free but not suited to work with survey responses and multiple snippets of data... Source: over 1 year ago
Check out voyant tools: https://voyant-tools.org/. Source: over 1 year ago
I have all 300+ speeches saved in documents and I've plugged them into a text analysis tool. I am absolutely no expert in linguistics or related fields but it produced some interesting results re: what words he uses most, unique words by months, etc. Source: over 1 year ago
Hello, I write many essays for classes and like to do research in my spare time. A professor once mentioned this tool: https://voyant-tools.org/, and I loved it since it allows me to gain better insight into my writing or texts I'm reading. I was wondering if there were more tools (preferably free) that I should also try. Source: over 1 year ago
Voyant is a free browser-based open-source environment for text reading and analysis. It can perform quantitative tasks like word frequency counts and visualize many different types of relationships within the text corpus. There are several similar open-source text analysis tools, like Libro, AntConc, and KHCoder, but Voyant is browser-based and simple to use. It won't help you tag, but it might provide some... Source: over 1 year ago
I did the whole thing using the free tools available at Voyant Tools, except for the one screenshot from the google ngram viewer. Source: over 1 year ago
I don't really see the point of you trying to create such a list, but if you really want to, I recommend voyant tools. It's a tool that allows you to sift through metric shittons of text to find out the most common words and a plethora of other cool functions. Click around and see what it can do. Might be useful for you. Source: about 2 years ago
My go-to tool for this would be the free https://voyant-tools.org/ (though I would not call what it does a synthesis, which I associate with qualitative analysis). Source: about 2 years ago
3) spreadsheets are really bad tools for digital text analysis. If you’re going to try and quantitatively analyze a text, I would start with Voyant & then start coding; Python has some really great natural language processing libraries with all kinds of really interesting capabilities. Source: almost 3 years ago
This is what digital humanities is all about! A great starting point for you would be Voyant Tools, which you can feed a corpus and it gives you back a generalized dashboard with all kinds of base stats about the body of work. While not free like Voyant, NVivo is a very popular software for this sort of task that can do the more advanced analysis you're looking for-- thanks to its popularity, you might be able to... Source: almost 3 years ago
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