Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Houlihan, Patrick
and
Creamer, Germmn G.
2014.
Diffusion of Price Information through Message Volume and Sentiment.
SSRN Electronic Journal,
Pla, Ferran
and
Hurtado, Lluís-F.
2014.
Natural Language Processing and Information Systems.
Vol. 8455,
Issue. ,
p.
208.
Montejo‐Ráez, Arturo
Martínez‐Cámara, Eugenio
Martín‐Valdivia, M. Teresa
and
Ureña‐López, L. Alfonso
2014.
A knowledge‐based approach for polarity classification in Twitter.
Journal of the Association for Information Science and Technology,
Vol. 65,
Issue. 2,
p.
414.
Montejo-Ráez, A.
Díaz-Galiano, M.C.
Martínez-Santiago, F.
and
Ureña-López, L.A.
2014.
Crowd explicit sentiment analysis.
Knowledge-Based Systems,
Vol. 69,
Issue. ,
p.
134.
Khotimah, Husnul
Djatna, Taufik
and
Nurhadryani, Yani
2014.
Tourism recommendation based on vector space model using composite social media extraction.
p.
303.
Murthy, Dhiraj
Bowman, Sawyer
Gross, Alexander J.
and
McGarry, Marisa
2015.
Do We Tweet Differently From Our Mobile Devices? A Study of Language Differences on Mobile and Web-Based Twitter Platforms.
Journal of Communication,
Vol. 65,
Issue. 5,
p.
816.
Munezero, Myriam
Montero, Calkin Suero
Mozgovoy, Maxim
and
Sutinen, Erkki
2015.
Computational Linguistics and Intelligent Text Processing.
Vol. 9042,
Issue. ,
p.
78.
Vilares, David
Alonso, Miguel A.
and
Gómez‐Rodríguez, Carlos
2015.
On the usefulness of lexical and syntactic processing in polarity classification of Twitter messages.
Journal of the Association for Information Science and Technology,
Vol. 66,
Issue. 9,
p.
1799.
Gao, Wei
and
Sebastiani, Fabrizio
2015.
Tweet Sentiment.
p.
97.
Madhoushi, Zohreh
Hamdan, Abdul Razak
and
Zainudin, Suhaila
2015.
Sentiment analysis techniques in recent works.
p.
288.
Han, Sifei
and
Kavuluru, Ramakanth
2015.
Advances in Artificial Intelligence.
Vol. 9091,
Issue. ,
p.
181.
Martínez-Cámara, Eugenio
Martín-Valdivia, M. Teresa
Ureña-López, L. Alfonso
and
Mitkov, Ruslan
2015.
Polarity classification for Spanish tweets using the COST corpus.
Journal of Information Science,
Vol. 41,
Issue. 3,
p.
263.
Andriotis, Panagiotis
and
Oikonomou, George
2015.
Human Aspects of Information Security, Privacy, and Trust.
Vol. 9190,
Issue. ,
p.
475.
Vilares, David
Alonso, Miguel A.
and
Gómez-Rodríguez, Carlos
2015.
A linguistic approach for determining the topics of Spanish Twitter messages.
Journal of Information Science,
Vol. 41,
Issue. 2,
p.
127.
Houlihan, Patrick
and
Creamer, Germmn G.
2015.
Can Social Media and the Options Market Predict the Stock Market Behavior?.
SSRN Electronic Journal,
Aldayel, Haifa K.
and
Azmi, Aqil M.
2016.
Arabic tweets sentiment analysis – a hybrid scheme.
Journal of Information Science,
Vol. 42,
Issue. 6,
p.
782.
Gordeev, Denis
2016.
Automatic Detection of Verbal Aggression for Russian and American Imageboards.
Procedia - Social and Behavioral Sciences,
Vol. 236,
Issue. ,
p.
71.
Rojas‐Barahona, Lina Maria
2016.
Deep learning for sentiment analysis.
Language and Linguistics Compass,
Vol. 10,
Issue. 12,
p.
701.
Gao, Wei
and
Sebastiani, Fabrizio
2016.
From classification to quantification in tweet sentiment analysis.
Social Network Analysis and Mining,
Vol. 6,
Issue. 1,
Pino, Carmelo
Kavasidis, Isaak
and
Spampinato, Concetto
2016.
Assessment and visualization of geographically distributed event-related sentiments by mining social networks and news.
p.
354.