---
title: "Piyoros Tungthamthiti — author profile and papers in our library"
description: "Piyoros Tungthamthiti, Japan Advanced Institute of Science and Technology: 2 papers on Elamur Research (2014–2015), h-index 3…"
canonical: "https://research.elamur.ai/free/en/authors/piyoros-tungthamthiti/"
---
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# Piyoros Tungthamthiti

Piyoros Tungthamthiti has 2 papers in our library, in 2014–2015, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Kiyoaki Shirai](https://md.research.elamur.ai/free/en/authors/kiyoaki-shirai/), [Chu-Ren Huang](https://md.research.elamur.ai/free/en/authors/chu-ren-huang/), [Enrico Santus](https://md.research.elamur.ai/free/en/authors/enrico-santus/).

2 papers in our library · 2014–2015

[OpenAlex](https://openalex.org/A5072196326) · [**h-index 3**](https://openalex.org/authors/A5072196326) · [7 works](https://openalex.org/works?filter=author.id:A5072196326) · [20 citations](https://openalex.org/works?filter=author.id:A5072196326&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/piyoros-tungthamthiti/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/piyoros-tungthamthiti/cited-by/) · [⭐ Paper Stars ranking: #6018](https://md.research.elamur.ai/free/en/paper-stars/page/61/#star-6018)

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=Piyoros+Tungthamthiti) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Piyoros+Tungthamthiti) · [dblp](https://dblp.org/search?q=Piyoros+Tungthamthiti) · [ACL Anthology](https://aclanthology.org/search/?q=Piyoros+Tungthamthiti)

## Affiliations

[🎓**Japan Advanced Institute of Science and Technology** Nomi Shi · Japan 2015–2016 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/japan-advanced-institute-of-science-and-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/)

🧭 Topics 2 Research subjects and languages the work is about.[Sentiment & emotion · 2 works](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/)

## Works by year

### 2010s

[**2015** 1 paper Sentiment Analyzer with Rich Features for Ironic and Sarcastic Tweets](https://md.research.elamur.ai/free/en/papers/tungthamthiti-2015-sentiment-analyzer-rich-features-ironic/) · [**2014** 1 paper Recognition of Sarcasms in Tweets Based on Concept Level Sentiment Analysis and Supervised Learning Approaches](https://md.research.elamur.ai/free/en/papers/tungthamthiti-2014-recognition-sarcasms-tweets-based-concept/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Sentiment Analyzer with Rich Features for Ironic and Sarcastic Tweets](https://md.research.elamur.ai/free/en/papers/tungthamthiti-2015-sentiment-analyzer-rich-features-ironic/)** *(2015 · 3 citations)* Tweets are hard to score for sentiment, and figurative language makes it harder because the literal wording often points the opposite way from the attitude the writer means.
2. **[Recognition of Sarcasms in Tweets Based on Concept Level Sentiment Analysis and Supervised Learning Approaches](https://md.research.elamur.ai/free/en/papers/tungthamthiti-2014-recognition-sarcasms-tweets-based-concept/)** *(2014 · 3 citations)* The paper tackles automatic detection of sarcasm in English tweets. Sarcasm is hard to detect because the literal wording and the intended meaning point in opposite directions. The authors collected 50,000 tweets with Twitter4J. Tweets tagged #sarcasm serve as positive examples, and tweets retrieved with random…

## Co-authors here

4 co-authors with a page, the most papers together first.

- [Kiyoaki Shirai](https://md.research.elamur.ai/free/en/authors/kiyoaki-shirai/) ×2
- [Chu-Ren Huang](https://md.research.elamur.ai/free/en/authors/chu-ren-huang/)
- [Enrico Santus](https://md.research.elamur.ai/free/en/authors/enrico-santus/)
- [Hongzhi Xu](https://md.research.elamur.ai/free/en/authors/hongzhi-xu/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Pacific Asia Conference on Language, Information and Computation (PACLIC)](https://md.research.elamur.ai/free/en/venues/paclic/) ×2: [PACLIC 2015](https://md.research.elamur.ai/free/en/venues/paclic/2015/), [PACLIC 2014](https://md.research.elamur.ai/free/en/venues/paclic/2014/)

## Cited by

Papers of our library cite their works 3 times (of the 141,840 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/piyoros-tungthamthiti/cited-by/).

Updated 24 October 2026
