generate_word_clouds

This function Creates and plots a word cloud based on the cleaned and stemmed words extracted from one or more tweets.

By systematically aggregating and processing textual reports from earthquakes, floods, storms,
wildfires, and other natural disasters, the framework enables a holistic assessment of crisis narratives.
Intelligent cleaning and normalization techniques transform raw commentary into structured data, ensuring
precise extraction of disaster-specific insights. Collective sentiments of affected communities are
quantitatively scored and qualitatively categorized, providing a multifaceted view of societal responses
under duress. Interactive geographic maps and temporal charts illustrate the evolution and spatial dispersion
of emotional reactions and impact indicators.

Leila Marvian Mashhad

DisasterAlert

Disaster Alert and Sentiment Analysis

Hossein Hassani

Nadejda Komendantova

generate_word_clouds function

<dl> <dt>tweet</dt>
<dd>A character vector of tweet texts, or a data frame/tibble whose first column contains tweet texts.</dd></dl>

Arguments

Hossein Hassani and Leila Marvian Mashhad and Nadejda Komendantova.

Author

Generate Word Clouds from Tweets — generate_word_clouds

<dl>

 <dt>tweet</dt>
<dd>A character vector of tweet texts, or a data frame/tibble whose first column contains tweet texts.</dd>

</dl>

generate_word_clouds: Generate Word Clouds from Tweets

Description

Usage

Value

Arguments

Author

Examples