Sentiment Analysis on Twitter Data Using LSTM with Emoji Embedding
Aditya Singh, Jyoti Rawat, Saurabh Bhandari, Umangdeep Negi, Shreshtha Pahwa · 2022 3rd International Conference on Intelligent Engineering and Management (ICIEM) · 2022
Data analysis in today’s data-driven world has proved to be the most essential thing. The majority of the data generated online is unstructured and needs to be processed. Social media plays a vital role in sharing data on the internet in large amounts, this data needs to be handled properly and information from this unstructured data must be extracted. By using sentiment analysis, the intentions of textual data can be figured out and can classify properly on the internet. In the proposed approach, the implementation of sentiment analysis is done using the combination of various artificial intelligence technologies and LSTM including some key symbols like emojis with special characters to increase the accuracy of pre-built models. That can make them more practical in today’s world.