I would like to recommend you our software Quita (http://kol.ff.upol.cz/quita/). It provides many quantitative indeces of text (entropy, TTR, avarage token lenght, writers view, repeat rate and so on), you can use it for data-mining (MDS, hierarchical clustering ...). Prepare your texts as a TXT, utf8 and lets try it. Please send me a email end I will send you account for our students to try some analysis.

Hi,

You can do qualitative text analysis using NVivo, ATLAS.ti , AQUAD 7 and

QDA Miner software's. Based on your analytic requirements, each has individual strengths.

I hope it helps.

Thank you Mehul Kumar Chourasia.

I would like to recommend you our software Quita (http://kol.ff.upol.cz/quita/). It provides many quantitative indeces of text (entropy, TTR, avarage token lenght, writers view, repeat rate and so on), you can use it for data-mining (MDS, hierarchical clustering ...). Prepare your texts as a TXT, utf8 and lets try it. Please send me a email end I will send you account for our students to try some analysis.

Thank you so much Professor Dan Faltynek I will get in touch with you via email.

Dear Jasmine Fernandez,

you may have a look on TextImager: https://textimager.hucompute.org/

It might help you. TextImager also offers the possibility to analyze larger amounts of text, but not via its web interface, but via its API.

Best wishes

Alexander Mehler

Thank you Prof. Alexander Mehler. Will surely check this out.

there are 3 or 4 corpus [= 'a large number of texts'] analysis software tools that many of us regularly use...

#1 AntConc (https://www.laurenceanthony.net/software/antconc/) which also has various other software programmes (eg for text format conversion, etc) associated with it (http://www.laurenceanthony.net/software.html); ALL are FREE to download, and easy to use... and if you have any problems, there are tutorials and guides and youtube videos, and the author/developer is also extremely helpful...

#2 WordSmith Tools (https://www.lexically.net/wordsmith/) was actually the original software that AntConc was developed from, it has additional analytical features, and also has additional (integrated) tools, various help guides, and a helpful author/developer... but COSTS £50 to license for a single user, and more for multiple users... it is probably more suited for experienced researchers...

#3 SketchEngine (https://www.sketchengine.eu/) is an online *corpus system* which allows you access to many existing corpora, as well as allowing you to upload and analyse your own text data... it offers a FREE one-month trial subscription, followed by various (£0, £4, £8) monthly subscription rates for different users... all its tools are integrated, and there are many help guides and youtube tutorials...

#4 Martin Weisser offers an introduction to Corpus-Based Linguistics, lists of available software tools (http://martinweisser.org/corpora_site/concordancers.html) , publications, etc, as well as some of his own software...

i hope this helps

best wishes

ramesh krishnamurthy

Thank you sir.

you are very welcome, jasmine! :) ... good luck with your research! best wishes, ramesh

There are a variety of free software options on the following website that can measure a long list of different dimensions of writing: https://www.linguisticanalysistools.org/tools.html.

If you have the texts in .txt format and in one folder, all you need to do is direct the software to the folder and it will export a spreadsheet for you with the calculations.

Thank you.

Wordless is an integrated corpus tool with multi-language support.

https://github.com/BLKSerene/Wordless

#LancsBox (Lancaster University corpus toolbox) is a great corpus tool

http://corpora.lancs.ac.uk/lancsbox/

Can you elaborate on the "aspects" of texts you are trying to analyze?

I would suggest using either Python NLTK or Stanford CoreNLP, both of which cover different types of linguistic annotation (tagging, constituency parsing, dependency parsing, NER, etc.). These could be helpful for text analysis but require some computational techniques to make it happen.