Sentiment Analysis of Shared Tweets on Global Warming on Twitter with Data Mining Methods: A Case Study on Turkish Language

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Remove numbers</td><td class="align_center">Deleting numerical expressions in the texts</td></tr><tr><td class="align_left">Remove punctuations</td><td class="align_center">Deleting special characters and punctuation marks in the texts</td></tr><tr><td class="align_left">Remove stop words</td><td class="align_center">Removal of stop words that do not change the meaning of the sentence specified for Turkish</td></tr><tr><td class="align_left">Remove whitespace</td><td class="align_center">Deleting the blank characters in the text</td></tr><tr><td class="align_left">Word stemming</td><td class="align_center">Determining the word roots using Zemberek Turkish NLP in the sentence [<a href="/journals/cin/2020/1904172/#B29" target="_blank">29</a>]</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computational Intelligence and Neuroscience

tab1

Table 1

Table 1: Sentiment Analysis of Shared Tweets on Global Warming on Twitter with Data Mining Methods: A Case Study on Turkish Language 