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Swift Selection Search VS NVivo

Compare Swift Selection Search VS NVivo and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Swift Selection Search logo Swift Selection Search

Swiftly access your search engines in a popup panel when you select text in a webpage.

NVivo logo NVivo

Buy NVivo now for flexible solutions to meet your specific research and data analysis needs. 
  • Swift Selection Search Landing page
    Landing page //
    2023-10-06
  • NVivo Landing page
    Landing page //
    2023-06-29

Swift Selection Search videos

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NVivo videos

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How to use NVivo for your Literature Review Part 1

More videos:

  • Tutorial - NVivo for your literature review- online tutorial
  • Review - Your Dissertation Literature Review Using NVivo

Category Popularity

0-100% (relative to Swift Selection Search and NVivo)

Swift Selection Search

NVivo

Internet Search
100 100%
Internet Search
0% 0
Text Analytics
0 0%
Text Analytics
100% 100
Search Engine
100 100%
Search Engine
0% 0
Market Research
0 0%
Market Research
100% 100

User comments

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What are some alternatives?

When comparing Swift Selection Search and NVivo, you can also consider the following products

Trufflepiggy - Quick Search - The all-in-one search addon: just select and search. Find on multiple websites at once. Search via overlay, context menu or omnibar. Featuring anonymous profiles. Easy setup: select from 1000+ user generated searches. Cross-browser sync.

MAXQDA - a professional software for qualitative and mixed methods data analysis

ContextSearch web-ext - Search for selection with your browser's search engines via a pop-up.

ATLAS.ti - ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.

Selection Search - With this extension you can easily search for text you have selected.

QualCoder - A very complete Free and Open Source Software (FOSS) Computer-Assisted Qualitative Data Analysis Software (CAQDAS) written in Python. It works with text, images, and multimedia such as audios and videos.

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