An effective BERT-based pipeline for Twitter sentiment analysis: A case study in Italian
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 …
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 …
just automatically but often for humans too. It has an important effect on sentiment, but is …
Location mention detection in tweets and microblogs
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 …
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 …
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 …
Which Are Author-Created Labels Representing Topics Or Themes, Toassist In …
Segmenting hashtags and analyzing their grammatical structure
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 …
messages that people like to see in the trending hashtags list. Complex noun phrases and …
Segmenting hashtags using automatically created training data
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 …
convey the actual messages in tweets. Understanding what tweets are saying is getting …
[PDF][PDF] Real-time automatic word segmentation for user-generated text
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 …
recommended for written text. In this paper, we propose a real-time assistive technology that …
Harnessing twitter for answering opinion list queries
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 …
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 …
shifts and swifts in people's lifestyles. Several studies related to the pandemic have used …