Sentiment analysis: Why it’s necessary and how it improves CX If Hypothesis H is supported, it would signify the viability of sentiment analysis in foreign languages, thus facilitating improved comprehension of sentiments expressed in different languages. The findings of this research can be valuable into various domains, such as multilingual marketing campaigns, cross-cultural analysis, and international customer service, where understanding sentiment in foreign languages is of utmost importance. The experiments conducted in this study focus on both English and Turkish datasets, encompassing movie and product reviews. Sentiment analysis of the Hamas-Israel war on YouTube comments using deep learning – Nature.com Sentiment analysis of the Hamas-Israel war on YouTube comments using deep learning. Posted: Thu, 13 Jun 2024 07:00:00 GMT [source] The language conveys a clear or implicit hint that the speaker is depressed, angry, nervous, or violent in some way is presented in negative class labels. Mixed-Feelings are indicated by perceiving both positive and negative emotions, either explicitly or implicitly. Finally, an unknown state label is used to denote the text that is unable to predict either as positive or negative25. The misclassification rate for CNN-BI-LSTM is calculated first by adding false positive and false negative, divided by the total […]