Keyword Searches of the Tweets Gathered
The tweets collected by a project can be explored by searching them.
- First, start Mozdeh, select and open the project if it is not already open in Mozdeh. Once Mozdeh is opened as above, the search screen below will be shown.
- Enter a query into the text box near the top of the screen. This can be one or more keywords, or a phrase search "in quotes" or multiple terms or phrases joined togther with AND or OR commands. The default for searching is OR, so if you search for justin bieber then this will match tweets containing either justin or bieber or both. To search for tweets containing both justin and bieber, search for justin AND bieber instead.
- Click the Boolean Search button to search the indexed tweets with your query. The first 40+ matches will be displayed in the large box near the bottom of the window. The results are displayed in chronological order. The Mozdeh title bar will also report the total number of matches (17472 in the example below).
- If there are more matches than Mozdeh displays in one go, try clicking on Next and Previous buttons to navigate between them.
- Clicking on a result will reveal the full text of the tweet in simplified form - to see the original tweet, click first on the Show original tweet option.
- Try out some of the options for advanced searching, such as to jump to results from specific days. Click on the Boolean Search button after each change to apply it.
- When searching for tweets within Mozdeh, they are returned in approximately chronological order. Try sorting the results in different orders by altering the Sort by value.The Random option may be useful if you want to see what a typical tweets look like or if you need a random sample for a content analysis.
- Try searching for tweets written by a specific gender by selecting the gender from the dropdown box (see above) and clicking on the Boolean Search button.
- Try searching for tweets with a given positive and/or negative sentiment range by entering minimum and/or maximum positive and negative sentiment strength values in the sentiment boxes and clicking on the Boolean Search button. The scale is from 1 (no sentiment) to 5 (very strong sentiment). So a positive sentiment setting of 3 and 5 would generate a list of tweets with moderate, strong or very strong positive sentiment.