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Automatic creation of stock market lexicons for sentiment analysis using StockTwits data

Nuno Oliveira, Paulo Cortez, Nelson Areal
2014 Proceedings of the 18th International Database Engineering & Applications Symposium on - IDEAS '14  
In this work, we propose an automatic procedure for the creation of such lexicon by exploring a large set of labeled messages from StockTwits, a popular financial microblogging service, and using four  ...  The obtained lexicons are competitive when compared with a set of six reference lexicons. Moreover, we verified that it is beneficial to use continuous sentiment scores instead of sentiment labels.  ...  The intention is to verify which lexical items are unimportant for sentiment classification and should be excluded from the lexicon.  ... 
doi:10.1145/2628194.2628235 dblp:conf/ideas/OliveiraCA14 fatcat:wkopw4fbqzf6fcq24w2ldwnkhq

Development of Affective Lexicon for Spanish with Mexican Slang Expressions

Noé Alejandro Castro-Sánchez, Yolanda Raquel Baca-Gómez, Alicia Martínez
2015 Research in Computing Science  
Based on this assumption, we create an affective lexicon, consisting in the translation from English to Spanish of various lexical resources, including works based on psychological theories to identify  ...  The lexicon currently consists of 3550 words and 255 slang expressions.  ...  This resource is an Affective lexicon composed by the translation from English to Spanish of sentiment words and also by Mexican slang expressions.  ... 
doi:10.13053/rcs-100-1-1 fatcat:36qd5w26irgnvf6yosdashg6ua

Assigning Polarity Scores to Facebook Myanmar Movie Comments

Win Win, Nyein Thwet, Su Su, Khine Khine, Kay Thi
2017 International Journal of Computer Applications  
Myanmar is a language with underdeveloped electric resources.  ...  General Terms Sentiment analysis  ...  RESOURCES Lexical resources such as corpus and lexicon are very important for sentiment analysis.  ... 
doi:10.5120/ijca2017915780 fatcat:3r6apecfnvf4velupsn4ks4amm

Using games with a purpose and bootstrapping to create domain-specific sentiment lexicons

Albert Weichselbraun, Stefan Gindl, Arno Scharl
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
This paper proposes a semi-automatic approach for the creation of sentiment lexicons which assigns sentiment values to sentiment terms via crowd-sourcing.  ...  The effort involved in creating, customizing, and extending sentiment lexicons is considerable, particularly if less common languages and domains are targeted without access to appropriate language resources  ...  Sentiment lexicons are valuable resources, and much work focuses on the creation of such lexicons. This task usually involves a lot of handicraft, making it time-consuming and resource-intensive.  ... 
doi:10.1145/2063576.2063729 dblp:conf/cikm/WeichselbraunGS11 fatcat:v6lomgzulvd4zbunqbzp3vjzw4

A Sentiment Analysis of Gujarati Text using Gujarati Senti Word Net

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Motive of this paper is to develop sentiment lexical resource for Gujarati language which can be used for sentiment analysis of Gujarati text.  ...  Our contribution is twofold. (1) Gujarati SentiWordNet (G-SWN) is developed. (2) Gujarati corpus is prepared in order to evaluate lexical resource created.  ...  Gujarati is resource-poor language. This motivate us to develop sentiment lexical resource for Gujarati language. IV. METHODOLOGY Sentiment lexical resource consists of prior polarity of terms.  ... 
doi:10.35940/ijitee.i8443.078919 fatcat:awthdk3klbaxvoo2rf46jenj3m

Building a SentiWordNet for Odia

Gaurav Mohanty, Abishek Kannan, Radhika Mamidi
2017 Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis  
The SentiWord-Nets for Tamil, Bengali and Telugu were acquired from Amitava Das' website 5 . The IndoWordNet was accessed from CLIFT IIT Bombay website 6 .  ...  Even though sentiment depends on context, lexical resources have proven to give a good baseline for further studies.  ...  Section 3 describes resources used for creation of Odia SentiWordNet.  ... 
doi:10.18653/v1/w17-5219 dblp:conf/wassa/MohantyKM17 fatcat:op2bmps2zfayfo7bsc63slovj4

Meta-level sentiment models for big social data analysis

Felipe Bravo-Marquez, Marcelo Mendoza, Barbara Poblete
2014 Knowledge-Based Systems  
In that area, several methods and lexical resources have been proposed in order to extract sentiment indicators from natural language texts at both syntactic and semantic levels.  ...  In this context, Twitter sentiment analysis, which is the task of automatically identifying and extracting subjective information from tweets, has received increasing attention from the Web mining community  ...  From each lexical resource we calculate a number of features according to the number of matches between the words from the tweet and the words from the lexicon.  ... 
doi:10.1016/j.knosys.2014.05.016 fatcat:piwxl7q7wfgvzmqrdqm2v4ubbu

Combining strengths, emotions and polarities for boosting Twitter sentiment analysis

Felipe Bravo-Marquez, Marcelo Mendoza, Barbara Poblete
2013 Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining - WISDOM '13  
A number of methods and lexical resources have been proposed to analyze sentiment from natural language texts, addressing different opinion dimensions.  ...  Twitter sentiment analysis or the task of automatically retrieving opinions from tweets has received an increasing interest from the web mining community.  ...  RELATED WORK Lexical Resources for Sentiment Analysis The development of lexical resources for sentiment analysis has gathered attention from the computational linguistic community. Wilson et al.  ... 
doi:10.1145/2502069.2502071 dblp:conf/kdd/Bravo-MarquezMP13 fatcat:6yjuqimjhzamjhc3g6ykprukju

Senti-Lexicon and Analysis for Restaurant Reviews of Myanmar Text

Yu Mon Aye, Sint Sint Aung
2018 International Journal of Advanced engineering Management and Science  
We address dictionary based approach of lexicon-based sentiment analysis for analysis of opinion word extraction in food and restaurants domain.  ...  There is no research efforts have sought to provide sentiment analysis of Myanmar text. To tackle this problem, we propose the resource of Myanmar Language for mining food and restaurants' reviews.  ...  Senti-Lexicon is a lexical resource for sentiment classification which is a database of lexical element for a language beside with their sentiment orientations.  ... 
doi:10.22161/ijaems.4.5.7 fatcat:lk2sqnkyajegbbrkbzwvhtcwim

Odi et Amo. Creating, Evaluating and Extending Sentiment Lexicons for Latin

Rachele Sprugnoli, Marco Passarotti, Daniela Corbetta, Andrea Peverelli
2020 Zenodo  
corpora and lexicons creation.  ...  Sentiment lexicons are essential for developing automatic sentiment analysis systems, but the resources currently available mostly cover modern languages.  ...  a promising approach for the automatic creation of sentiment lexicons without the need of any manually annotated resource.  ... 
doi:10.5281/zenodo.3830350 fatcat:vsx7bnqqkfhm3nrwapbuykiyza

Emotive Verbs in English Sentiment Lexicons

O. Baranovska
2020 Science and Education a New Dimension  
The paper focuses on the representation of verbs in the existing sentiment lexicons of English. Sentiment lexicons are indispensable parts of sentiment analysis electronic tools.  ...  Thus, it is worthwhile comparing the verbs in the lexicons in order to discover the similarities and divergences across the lexicons and estimate the resources' performance based on the 'quality' of their  ...  usually with synonyms using an already existing lexical resource.  ... 
doi:10.31174/send-hs2020-230viii38-01 fatcat:zsm2hi3zszgrjewclyxgy45rm4

Odi et Amo. Creating, Evaluating and Extending Sentiment Lexicons for Latin

Rachele Sprugnoli, Marco Passarotti, Daniela Corbetta, Andrea Peverelli
2020 Zenodo  
corpora and lexicons creation.  ...  Sentiment lexicons are essential for developing automatic sentiment analysis systems, but the resources currently available mostly cover modern languages.  ...  a promising approach for the automatic creation of sentiment lexicons without the need of any manually annotated resource.  ... 
doi:10.5281/zenodo.3830351 fatcat:g6eh2hqfffe4bate6llxx5wcgm

Analyzing Sentiment in Classical Chinese Poetry

Yufang Hou, Anette Frank
2015 Proceedings of the 9th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH)  
the lack of sentiment lexicon resources.  ...  On the basis of our sentiment lexicon, we analyze sentiment in the Complete Anthology of Tang Poetry.  ...  The work presented in this paper provides a quantitative means to study sentiment in classical Chinese poetry.  ... 
doi:10.18653/v1/w15-3703 dblp:conf/latech/HouF15 fatcat:ftgtdsdmtvav5an5zihxaahrae

Towards the Modeling of Polarity in a Latin Knowledge Base

Rachele Sprugnoli, Francesco Mambrini, Giovanni Moretti, Marco Passarotti
2020 Zenodo  
LatinAectus is modeled relying on three formal representation frameworks: Lemon and Ontolex to describe the lexicon, and the Marl ontology to describe the sentiment properties of each of its lexical entries  ...  In this paper, we describe the process of inclusion of a prior polarity lexicon of Latin lemmas, called LatinAectus, in a knowledge base of interoperable linguistic resources developed within the LiLa:  ...  it with the lexicon model for ontologies (lemon) [3, 19] , so to represent lexical resources for sentiment and emotion analysis such as lexicons and annotated corpora [2] .  ... 
doi:10.5281/zenodo.4067812 fatcat:ddkl2syhqbahlnkcirunnx4pke

Stock market sentiment lexicon acquisition using microblogging data and statistical measures

Nuno Oliveira, Paulo Cortez, Nelson Areal
2016 Decision Support Systems  
Lexicon acquisition is a key issue for sentiment analysis. This paper presents a novel and fast approach for creating stock market lexicons.  ...  Using StockTwits, we show that the new lexicons are competitive for measuring investor sentiment when compared with six popular lexicons.  ...  data with six large popular lexical resources: Harvard General Inquirer (GI) [17] , opinion lexicon (OL) [2] , Macquarie Semantic Orientation Lexicon (MSOL) [20] , MPQA subjectivity lexicon (MPQA)  ... 
doi:10.1016/j.dss.2016.02.013 fatcat:tte4yfzf55dvxcdekcie67mqhu
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