Abu Awal Md Shoeb

Abu Awal Md Shoeb, Gerard de Melo

Emojis have become ubiquitous in digital communication, due to their visual appeal as well as their ability to vividly convey human emotion, among other factors. The growing prominence of emojis in social media and other instant messaging also leads to an increased need for systems and tools to operate on text containing emojis. In this study, we assess this support by considering test sets of tweets with emojis, based on which we perform a series of experiments investigating the ability of prominent NLP and text processing tools to adequately process them. In particular, we consider tokenization, part-of-speech tagging, as well as sentiment analysis. Our findings show that many tools still have notable shortcomings when operating on text containing emojis.

Abu Shoeb, Gerard de Melo

Given the growing ubiquity of emojis in language, there is a need for methods and resources that shed light on their meaning and communicative role. One conspicuous aspect of emojis is their use to convey affect in ways that may otherwise be non-trivial to achieve. In this paper, we seek to explore the connection between emojis and emotions by means of a new dataset consisting of human-solicited association ratings. We additionally conduct experiments to assess to what extent such associations can be inferred from existing data, such that similar associations can be predicted for a larger set of emojis. Our experiments show that this succeeds when high-quality word-level information is available.

Abu Awal Md Shoeb

Web browsers are the most common tool to perform various activities over the internet. Along with normal mode, all modern browsers have private browsing mode. The name of the mode varies from browser to browser but the purpose of the private mode remains same in every browser. In normal browsing mode, the browser keeps track of users' activity and related data such as browsing histories, cookies, auto-filled fields, temporary internet files, etc. In private mode, it is said that no information is stored while browsing or all information is destroyed after closing the current private session. However, some researchers have already disproved this claim by performing various tests in most popular browsers. I have also some personal experience where private mode browsing fails to keep all browsing information as private. In this position paper, I take the position against private browsing. By examining various facts, it is proved that the private browsing mode is not really private as it is claimed; it does not keep everything private. In following sections, I will present the proof to justify my argument. Along with some other already performed research work, I will show my personal case studies and experimental data as well.