Assessing Emoji Use in Modern Text Processing Tools

Shoeb, Abu Awal Md; Melo, Gerard de

doi:10.18653/v1/2021.acl-long.110

Cited by 6 publications

(4 citation statements)

References 15 publications

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“…The pervasive use of emojis in text-based interactions among Nigerian youths introduces a dynamic layer to communication, significantly influencing the way emotions and intentions are conveyed in digital conversations [54]. While emojis serve as expressive tools that can enhance understanding and add nuance to messages [55], their subjective interpretations can also lead to miscommunication [56]. This study sheds light on the intricate interplay between cultural context, individual perceptions, and the evolving language of emojis in the Nigerian youth demographic.…”

Section: Discussionmentioning

confidence: 90%

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Emojis And Miscommunication in Text-Based Interactions Among Nigerian Youths

Udoudom,

William,

Igiri

et al. 2024

JIWE

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This paper explores the dynamic role of emojis in text-based communication among Nigerian youths and the potential implications for miscommunication. Emojis have become integral to contemporary digital conversations, offering users a visual means of expressing emotions, tone, and context within the constraints of text-based interactions. In the context of Nigeria, a country with a diverse linguistic landscape and a youthful population heavily engaged in online communication, understanding the impact of emojis on interpersonal exchanges becomes particularly pertinent. This paper examines the prevalence and patterns of emoji usage among Nigerian youths across various digital platforms. It investigates the cultural nuances and interpretations associated with emojis within the Nigerian context, considering factors such as regional differences, linguistic diversity, and socio-cultural influences. Furthermore, the study examines instances where emojis may contribute to miscommunication or misunderstanding, potentially exacerbating conflicts or hindering effective communication. Through a comprehensive review of existing literature, online discourse analysis, and case studies, this research aims to shed light on the ways in which emojis influence the interpretation of textual messages and the potential challenges they pose to clear and accurate communication. The study concludes that as digital communication continues to be a primary mode of interaction, it is essential for users to recognize the potential for misinterpretation, prompting the need for increased emoji literacy and awareness.

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Section: Discussionmentioning

confidence: 90%

“…Remember that effective communication involves a combination of verbal and non-verbal cues [56]. While emojis can add nuance to text-based conversations, being aware of potential miscommunication and employing these strategies can enhance clarity and understanding [48].…”

Section: H Overcoming Challenges: Strategies For Effective Communicat...mentioning

confidence: 99%

Emojis And Miscommunication in Text-Based Interactions Among Nigerian Youths

Udoudom,

William,

Igiri

et al. 2024

JIWE

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“…With a behaviour that could be similar to that of some words, in terms of ngrams, structures of words that appear frequently together, in which "n" marks the number of words in the composition. This is what Shoeb and De Melo (2021) call tokens, using big data terminology: their proposal is to tokenise a text, fragmenting it into different tokens, which can be words, emojis or other characters. However, it is better explained as the representation of gestures, because these repetitions are more characteristic of gestures than of grammar.…”

Section: Resultsmentioning

confidence: 99%

The study of emoji linguistic behaviour: an examination of the theses raised (and not raised) in the academic literature

Nieto

2023

Communication & Society

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This bibliographic review of academic research on emoji reveals how the bulk of studies accepts it as a language but do not develop detailed linguistic analysis that could support this claim: they accept the clues provided by the initial studies, as if the scientific community had already reached such a consensus. However, the truth is that the fields in which emoji have generated the greatest academic interest (computer science, psychology and cognitive science) have considered the study of their linguistic nature a minor issue. Therefore, research on emoji has been growing over the years, widening the scope of its contributions, but with a common core made up of few basic notions about its linguistic condition that has important blind spots, in which Linguistics hasn’t done (generally) its work to place it in this new context for communication that the digital environments represent, despite the supports provided by multimodality and visual language theory. From these two disciplines, some authors have boldly suggested the emoji’s status as a gesture. However, to analyse its linguistic nature and behaviour, it is more accurate to understand the emoji, not as a gesture, but as a simplified representation of a gesture, without the unique features that a personal gesture has. The emoji seems to be the tool that, with fewer resources, best ensures that the interlocutor can understand the intentionality with which the sender has written the message.

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“…We used 'Natural Language Toolkit' (NLTK) for many of the required tools, including POS tagging, lemmatisation, and 'TweetTokenizer' tool, which has been shown to perform well for this type of corpora [6]. The set of 'stopwords' used was the union of the default nltk.corpus.stopword set and the set of singular punctuation characters, {!, ?, &, • • • }.…”

Section: B Tools Usedmentioning

confidence: 99%

Assessing the Effects of Lemmatisation and Spell Checking on Sentiment Analysis of Online Reviews

Kavanagh

Greenhow

Jordanous

2023

2023 IEEE 17th International Conference on Semantic Computing (ICSC)

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With many options for text preprocessing techniques, choosing the most efficient methodology is important for both accuracy and computational expense. Online text often contains non-standard English, spelling errors, colloquialisms, emojis, slang and many other variations that affect current natural language processing tools, with no clear guidelines for preprocessing this type of text. In this work we analyse text preprocessing techniques using a data set of online reviews scraped from iTunes and Google Play store. The objective is to measure the efficacy of different combinations of these techniques to maximise the amount of detected sentiment in a dataset of 438,157 reviews. Sentiment detection was performed by two state-ofthe-art sentiment analysers (RoBERTa and VADER). Statistical analysis of the results suggest preprocessing strategies for maximising sentiment detected within mental health app reviews and similar text formats.

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Assessing Emoji Use in Modern Text Processing Tools

Cited by 6 publications

References 15 publications

Emojis And Miscommunication in Text-Based Interactions Among Nigerian Youths

Emojis And Miscommunication in Text-Based Interactions Among Nigerian Youths

The study of emoji linguistic behaviour: an examination of the theses raised (and not raised) in the academic literature

Assessing the Effects of Lemmatisation and Spell Checking on Sentiment Analysis of Online Reviews

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