![]() Import projects from other programs like Nvivo that were exported to the REFI-QDA format. Import text data from one document, that is automatically coded and split into multiple cases.Ĭreate new texts, tables, notes, summaries, and more directly in MAXQDA. from bibliographical software packages Endnote, Mendeley, Citavi, and Zotero. Import text and PDF articles, as well as meta information about articles, textbooks, etc. Import photos and images (png, jpg, gif, tif). Autocode video comments with number of replies. YouTube: Import video comments and video transcripts directly from YouTube. Automatically code tweets with #hashtags and Filter and statistically analyze tweets in new interactive table. Detailed search for tweets, authors, #hashtags languages, locations, etc. Twitter: Import tweets directly from twitter. Import webpages as text, image or PDF documents using the free Google Chrome Addon “MAXQDA Web Collector”. Table view includes common table functionality: sort alphabetically, hide columns, edit or enter text into cells. Import survey data directly from SurveyMonkey account with automatic precoding of open-ended answers and assignment of statistical information. Import survey data from excel with automatic precoding of open-ended answers and assignment of statistical information. Video Windows/Mac: MP4, MOV, MPG, AVI, M4V, 3GP, 3GGP MAXQDA Media player displays waveform, allows analysis down to 10th of a second. Import media files from common file formats into MAXQDA products. Import focus group transcripts or other multi-speaker texts with automatic speaker detection & speaker based analysis tools. Import transcripts that were created with other software programs (manually or by automatic text recognition). Import PDF files in their original format. When clicking on the Word Cloud icon in the "Retrieved Segments" toolbar, you can visualize the frequently used words in the compilation of tweets.įurther analysis options, especially when delaing with several thousand tweets that have not been autocoded, MAXQDA offers further analysis options including filters, word-based functions and statistics.Import and edit text documents (.docx. The result will be a compilation of all relevant tweets, which will appear in the “Retrieved Segments” window. Activate the codes with the relevant author names in the Code System.Activate one or more documents with Twitter data in the Document System.For example, you can use the Coding Query to determine which tweets were written by specific authors: Once you have autocoded your tweets, all the usual MAXQDA twitter analysis tools are available. It is therefore not necessary to perform the autocoding process immediately after import. ![]() Please note: Via Analysis > Twitter > Autocode Tweets you can open the autocode function as often as needed. The resulting new code “Autocode Twitter data” with the date will be inserted at the top of the Code System. MAXQDA then begins the autocoding process, which may take a moment depending on the number of entries. When at least one hastag or author name is selected, the Autocode button becomes available and can be clicked.When you click OK, you will return to the Autocode dialog window, where you can proceed in the same manner with author names.Note that a maximum of 100 entries can be selected. This procedure can be repeated as desired, or reversed by selecting a row and clicking on the Stop icon to deselect an entry. A green checkmark will appear in front of the the selected hashtags. Click the green checkmark symbol in the upper toolbar.Your selection will be highlighted in green. As usual, you can select multiple rows by holding down the Ctrl key (Windows) or cmd key ( Mac ). Select the entries with the hashtags that are relevant to your analysis:.In the upper left corner you can see how many different hashtags were found in total the top right shows how many of these hashtags are currently selected. In the "Hashtag" column, the different hashtags are listed, and in the "Tweet" column you can see the number of tweets in which the hashtag appears.
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