Intricate Twitternlp Modelling
Aditi Ashish Gawande · International Journal for Research in Applied Science and Engineering Technology · 2022
Abstract: In this research, we introduce TweetNLP, a platform for social media Natural Language Processing (NLP). An extensive range of NLP tasks are supported by TweetNLP, including standard focus areas like sentiment analysis and named entity recognition as well as social media-specific tasks like emoticon prediction and offensive language detection. Task-specific systems run on moderately small Transformer-based language models that are focused on social media text, particularly Twitter, and don't require specialized hardware or cloud services to operate. TweetNLP's major contributions are: (1) an integrated Python library for a contemporary toolkit supporting social media analysis using various task-specific models tailored to the social domain; (2) an interactive online demo for codeless experimentation using our models; and (3) a tutorial covering a wide range of typical social media applications.