--- title: "Anshul Wadhawan · Bloomberg — author profile and papers" description: "Anshul Wadhawan, Bloomberg: 2 papers on Elamur Research (2021), h-index 3 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/anshul-wadhawan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/anshul-wadhawan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Anshul Wadhawan # Anshul Wadhawan Anshul Wadhawan has 2 papers in our library, in 2021, most of them on [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/). 2 papers in our library · 2021 [OpenAlex](https://openalex.org/A5069978153) · [**h-index 3**](https://openalex.org/authors/A5069978153) · [9 works](https://openalex.org/works?filter=author.id:A5069978153) · [37 citations](https://openalex.org/works?filter=author.id:A5069978153&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/anshul-wadhawan/#papers) · [🔗 Cited 11 times in our library](https://md.research.elamur.ai/free/en/authors/anshul-wadhawan/cited-by/) · [⭐ Paper Stars ranking: #9200](https://md.research.elamur.ai/free/en/paper-stars/page/92/#star-9200) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Anshul+Wadhawan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Anshul+Wadhawan) · [dblp](https://dblp.org/search?q=Anshul+Wadhawan) · [ACL Anthology](https://aclanthology.org/search/?q=Anshul+Wadhawan) ## Affiliations [🏢**Bloomberg** New York · United States 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/bloomberg/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Semitic languages · 2 works](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) ## Works by year ### 2020s [**2021** 2 papers](https://md.research.elamur.ai/free/en/authors/anshul-wadhawan/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic Tweets](https://md.research.elamur.ai/free/en/papers/wadhawan-2021-arabert-farasa-segmentation-based-approach/)** *(2021 · 11 citations)* This paper describes one team's system for the EACL WANLP-2021 Shared Task 2. The task has two subtasks on Arabic tweets: a binary decision on whether a tweet is sarcastic, and a three-way sentiment label (POS, NEG, NEU). The data is the ArSarcasm-v2 dataset, which the author splits 90:10 into training and validation… 2. **[Dialect Identification in Nuanced Arabic Tweets Using Farasa Segmentation and AraBERT](https://md.research.elamur.ai/free/en/papers/wadhawan-2021-dialect-identification-nuanced-arabic-tweets/)** *(2021 · 7 citations)* The paper describes one team's entry to the NADI 2021 shared task (EACL WANLP-2021, Shared Task 1). The task is to guess where an Arabic tweet was written, at the level of 21 countries or 100 provinces, and it covers both Modern Standard Arabic (MSA) and dialectal Arabic (DA). The labeled data has 21,000 training… ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/) ×2: [WANLP 2021](https://md.research.elamur.ai/free/en/venues/wanlp/2021/) ×2 ## Cited by Papers of our library cite their works 11 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/anshul-wadhawan/cited-by/). Updated 31 October 2026