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Software for content analysis and text analysis: Qualitative analysis

Software for content analysis and text analysis: Qualitative analysis
Annotations for Mac Mac software to analyse documents by adding and organising highlights, tags or notes on text passages. ATLAS.ti Computer software for the support of text interpretation, text management and the extraction of conceptual knowledge from documents (theory building); supports the qualitative analysis of large bodies of textual, graphical, audio and video data. A demo version is provided via download. CAQDAS Comparison A comparative overview of the most important computer-assisted qualitative data analyses software packages, ordered by product functions. CDC EZ-Text The software to assist researchers create, manage, and analyze semi-structured qualitative databases is available free of charge. Choosing a CAQDAS Package The working paper by Ann Lewins and Christina Silver gives an overview of different types of software for managing textual or qualitative data and describes common and distinctive features of several “Code-based Theory Building” software packages. Code-A-Text NVivo

News analysis - trends tools online I need to do a rough and ready news analysis. I want to go to a specific news site and see the frequency of certain words and phrases before and after a certain date. Ideally, I'd be able to do this in a slightly more complex way, with combinations of words and phrases. Say a particular politician was always considered a bit of a clown. Is this something that exists? (I know I saw something which did something similar developed by some American university.

What are the most powerful open-source sentiment-analysis tools? I took a stab at a Quora question, What are the most powerful open-source sentiment-analysis tools?. Here’s my response: I know of no open-source (software) tools dedicated to sentiment analysis. - Python NLTK (Natural Language Toolkit), but see also - R, TM (text mining) module, including tm.plugin.sentiment. - RapidMiner, - GATE, the General Architecture for Text Engineering, I’m sure you can also find UIMA-plug-in annotators for sentiment — Apache UIMA is the Unstructured Information Management Architecture, — also sentiment classifiers for the WEKA data-mining workbench, Then there’s LingPipe, which can be characterized as pseudo-open source. Powerful, I can’t say. Note that the tools above work on textual sources. Like this:

Qualitative Data Analysis Software | Mixed Methods Research | NVivo Import and analyze documents, images, PDFs, audio, video, spreadsheets, web pages, and Twitter and Facebook data Theme, case and in-vivo coding Review coding with coding stripes and highlights Merge NVivo for Mac projects Import and create transcripts Import information from reference management software Import notes directly from OneNote Online Autocode datasets Memos and annotations Matrix coding, coding, word frequency, text search and coding comparison queries Word trees and word clouds Export and share items Share your research by printing visualizations, text sources and node reference view Hierarchical visualizations, mind maps, explore diagrams and comparison diagrams Work with data in virtually any language Access user interface in English, German, French and Spanish Import and analyze text Text search, word frequency and coding queries Charts, word clouds, word trees, explore and comparison diagrams Import articles from reference management software Connect to NVivo for Teams Relationship coding

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