This video performs sentiments analysis in tweets using the hashtag Ukraine. It shows the most frequent terms. It also shows how to visualize the most frenquently used words in wordcloud. Then frequently used words are plotted. The purpose of this video is to examine sentiment expressed in tweets during Ukrine-Russia war. Sentiment analysis in done use sentimentr package. Afin, bing and nrc lexicon were used to perform sentiment analysis on Ukrainian tweets. The result of the analysis shows than in 1000 tweets analysed negative sentiment is dominant.
To perform the analysis, the following steps were followed:
Creating text vector,
Creating word corpus
Removing stopwords, punctuations, numbers,whitespace,
Creating term document matrix
Converting in matrix
Getting words counts
Sentiment analysis
key words: sentiment , Ukraine, lexicon
#ukraine
#ukrainewar
#ukrainerussiawar
