چكيده به لاتين
The words we use in everyday life or on social networks reflect our thoughts, emotions, and emotions. Words are a resource that can be used to understand human beings in psychology. Words that occur simultaneously in the same context have the same semantic and emotional orientation. In recent years, the association of words has played a key role in cognitive science research.
In this study, a new system called “Tarvajeh” is designed and implemented, which results in the creation of a database of associative vocabulary in Persian. This database is used to analyze Twitter hashtags.
To collect the data, the keywords are categorized into groups. 30 words are displayed to each participant in two separate phases, and then participants are asked to see each word, and write the three words that first come to mind. After data collection, Tarvajeh consisted of 240 Persian frequent words and more than 20000 different responses to them. Finally, we compare the results of the association of words in Persian with those of other languages. This comparison shows that for some keywords, most associative words are the same, and for others many of the most frequent responses are unique to that country's culture and language.
The sentiment of 50 selected keywords of Tarvajeh and hashtag graph of these keywords on Twitter was calculated separately by two random patrol methods and a list of simultaneous words each occurring, and the results showed that each word in the association of words and Twitter has the same emotional sentiment, though it may sound different in the human mind. Also, Tarvajeh and Twitter hashtag graph have been reviewed and the key nodes in the Tarvajeh and Twitter hashtag graph are presented using centrality measures.
