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enter the keywords that describe the topic of interest and to present the results in several levels of detail. To meet the second requirement, the system uses a Naïve Bayes classifier to identify the sentiments of tweets, as the literature shows that this algorithm combines a good classificatory performance and low
feeling or emotions. To deal with the author's feelings, we suggest enhancing a text tweet with an appropriate image, along with/without text. To generate an image from the text, we first analyze the text tweet. The morpheme analyzer detects the key words and then the thumbnail images related to those keywords are retrieved
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.