Exhibiting the Explicit Aspects in Twitter Sentimental Data
S. Jayanthi, S. S. Arumugam · 2023
The evolution of social networks has resulted in medium to express feelings and thoughts of an individual to global audience, thanks to the rapid expansion of the Internet. Many individual utilize textual content, images, audio, and videos to convey their emotions and perspectives. However, the sheer volume of text-based communication on social media can be overwhelming. Each second, an enormous quantity of unstructured information is created online through these platforms. To comprehend human psychology in real-time, this data needs to be processed promptly, and one way to achieve this is through sentiment analysis. Sentiment analysis identifies the polarity of texts, determining whether the author holds a opinion of a negative, favourable, or neutral nature product, service, person, or location. In certain applications, sentiment analysis alone may be insufficient, necessitating the inclusion of emotion detection to accurately determine condition of one’s mind or heart. Sentiment analysis and emotion detection from textual data are both covered in depth in this work, with explicitly revealed insights into the distinct stages of sentiment analysis and the corresponding emotion models.