An effective BERT-based pipeline for Twitter sentiment analysis: A case study in Italian

M Pota, M Ventura, R Catelli, M Esposito - Sensors, 2020 - mdpi.com
Over the last decade industrial and academic communities have increased their focus on
sentiment analysis techniques, especially applied to tweets. State-of-the-art results have …

Who cares about sarcastic tweets? investigating the impact of sarcasm on sentiment analysis

DG Maynard, MA Greenwood - Lrec 2014 proceedings, 2014 - eprints.whiterose.ac.uk
Sarcasm is a common phenomenon in social media, and is inherently difficult to analyse, not
just automatically but often for humans too. It has an important effect on sentiment, but is …

Location mention detection in tweets and microblogs

S Malmasi, M Dras - … Linguistics: 14th International Conference of the …, 2016 - Springer
The automatic identification of location expressions in social media text is an actively
researched task. We present a novel approach to detection mentions of locations in the texts …

Multi-task pairwise neural ranking for hashtag segmentation

M Maddela, W Xu, D Preoţiuc-Pietro - arXiv preprint arXiv:1906.00790, 2019 - arxiv.org
Hashtags are often employed on social media and beyond to add metadata to a textual
utterance with the goal of increasing discoverability, aiding search, or providing additional …

[PDF][PDF] Segmenting twitter hashtags

J Reuter, J Pereira-Martins, J Kalita - International Journal on Natural …, 2016 - academia.edu
ABSTRACT Social Media Posts On Platforms Such As Twitter Or Instagram Use Hashtags,
Which Are Author-Created Labels Representing Topics Or Themes, Toassist In …

Segmenting hashtags and analyzing their grammatical structure

A Celebi, A Özgür - Journal of the Association for Information …, 2018 - Wiley Online Library
Originated as a label to mark specific tweets, hashtags are increasingly used to convey
messages that people like to see in the trending hashtags list. Complex noun phrases and …

Segmenting hashtags using automatically created training data

A Celebi, A Özgür - … of the Tenth International Conference on …, 2016 - aclanthology.org
Hashtags, which are commonly composed of multiple words, are increasingly used to
convey the actual messages in tweets. Understanding what tweets are saying is getting …

[PDF][PDF] Real-time automatic word segmentation for user-generated text

WI Cho, SJ Cheon, WH Kang, JW Kim… - arXiv preprint arXiv …, 2018 - researchgate.net
For readability and possibly for disambiguation, appropriate word segmentation is
recommended for written text. In this paper, we propose a real-time assistive technology that …

Harnessing twitter for answering opinion list queries

A Mullick, P Goyal, N Ganguly… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Opinion list (OL) queries like “valentines day gift ideas” and “best anniversary messages for
your parents” are quite popular on web search engines. Users expect instant answers …

Hashtags in linguistic anthropology: A covid-19 case study

VS Vaishali, S Rukmini - Angles. New Perspectives on the …, 2021 - journals.openedition.org
Hashtags in social media reflect the Coronavirus pandemic outbreak and the consequential
shifts and swifts in people's lifestyles. Several studies related to the pandemic have used …