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Emotion Level Sentiment Analysis: The Affective Opinion Evaluation

Mohammed Almashraee, Dagmar Monett Díaz, Adrian Paschke
2016 Extended Semantic Web Conference  
Based on these sentiments, sentiment analysis derives the opinion evaluation.  ...  Sentiment analysis evaluates writers' opinions based on pivot items extracted from text. These items are called opinion bearing words or, simply, sentiments.  ...  Acknowledgements This work has been partially supported by the Innoprofile Transfer project Corporate Smart Content funded by the German Federal Ministry of Education and Research (BMBF) and the BMBF Innovation  ... 
dblp:conf/esws/AlmashraeeDP16 fatcat:ho67mv72pjcaxkcjvc6a4hyybm

EMOSIS Sentiment Analysis on Tweets with Emotion and Intensity Level Recognition Considering Ending Punctuation Marks

2019 International journal of recent technology and engineering  
Sentiment Analysis is a tool used for determining the Polarity or Emotion of a Sentence. It is a field of Natural Language Processing which focuses on the study of opinions.  ...  Ending punctuation marks plays a significant role in Emotion Recognition and Intensity Level Recognition.  ...  The use of sentiment analysis is applied on classifying the polarity of text, evaluation on sarcasm, irony, and figurative languages, and also used in emotion detection.  ... 
doi:10.35940/ijrte.d4518.118419 fatcat:lcmzyui7kzad5b264tvfvhwhwe

LIPN-UAM at EmoInt-2017:Combination of Lexicon-based features and Sentence-level Vector Representations for Emotion Intensity Determination

Davide Buscaldi, Belem Priego
2017 Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis  
In particular, the paper provides some highlights on the system that was presented to the shared task, partly based on the Tweetaneuse system used to participate in a French Sentiment Analysis task (DEFT2017  ...  This paper presents the combined LIPN-UAM participation in the WASSA 2017 Shared Task on Emotion Intensity.  ...  Acknowledgements This work is part of the program "Investissements d'Avenir" overseen by the French National Research Agency, ANR-10-LABX-0083 (Labex EFL).  ... 
doi:10.18653/v1/w17-5236 dblp:conf/wassa/BuscaldiS17 fatcat:kgh6lkxpb5gkdemkuved7m5wu4

GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection

Egor Lakomkin, Chandrakant Bothe, Stefan Wermter
2017 Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis  
To solve this problem, we developed an ensemble of two neural models, processing input on the character. and word-level with a lexicon-driven system.  ...  The WASSA 2017 EmoInt shared task has the goal to predict emotion intensity values of tweet messages.  ...  Acknowledgments This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 642667 (SECURE).  ... 
doi:10.18653/v1/w17-5222 dblp:conf/wassa/LakomkinBW17 fatcat:ekz3wqnqorhotk376exyxzo7gi

Review of Dual Sentiment Analysis

2015 International Journal of Science and Research (IJSR)  
Thus there is a need for automatic opinion Sentiment Analysis is the area of study that analyzes customer feedback , opinions , sentiments, evaluations, attitudes, and from written language.  ...  The importance of sentiment analysis coincides with the growth of social media such as reviews, discussion forums, blogs, and social networks.  ...  "Sentiment Analysis is the task of identifying positive and negative opinions, emotions, and evaluations". Sentiment Analysis has many names.  ... 
doi:10.21275/v4i11.nov151708 fatcat:dob5zq5tovcm5p64qjn5g3bfg4

Sentimental Analysis from Video

Sayali Kolte, Smita Botre, Prof. Avinash Palave
2018 IJARCCE  
Communication through voice is one of the main components of affective computing in human-computer interaction. [5] In this type of interaction, properly comprehending the meanings of the words or the  ...  linguistic category and recognizing the emotion included in the speech is essential for enhancing the performance.  ...  Sentiment analysis is extracting emotions from a piece of text for a given video. Sentiment analysis is known as emotion extraction or opinion mining. This is a very popular field of in text mining.  ... 
doi:10.17148/ijarcce.2018.71134 fatcat:lkahrlkb4zhhvgy5xlqtf2hzpe

An Ontology of Emotion Process to Support Sentiment Analysis

Veda C. Storey, Georgia State University, Eun Hee Park, Old Dominion University
2022 Journal of the AIS  
Sentiment analysis is used to mine text data from many sources, including blogs, support forums, and social media, in order to extract customers' opinions and attitudes.  ...  This research creates an ontology of emotion process to support sentiment analysis, with an emphasis on obtaining a more fine-grained assessment of sentiment than polarity.  ...  Sentiment analysis, often called opinion mining, can be conducted at three levels: document-level, sentiment-level, and aspect-level.  ... 
doi:10.17705/1jais.00749 fatcat:govchcd5qvhlzkhpekajbngltq

A survey of multimodal sentiment analysis

Mohammad Soleymani, David Garcia, Brendan Jou, Björn Schuller, Shih-Fu Chang, Maja Pantic
2017 Image and Vision Computing  
The aggregation of these sentiment over a population represents opinion polling and has numerous applications.  ...  These approaches leverage emotion recognition and context inference to determine the underlying polarity and scope of an individual's sentiment.  ...  Opinion Mining, Sentiment Analysis, and Emotion Recognition Opinion mining and sentiment analysis have been used inter-changeably in the literature [5] .  ... 
doi:10.1016/j.imavis.2017.08.003 fatcat:q62fok6jczfsbdl3jm4mvr6qxi

Sentiment Analysis [chapter]

Saif M. Mohammad
2016 Emotion Measurement  
While sentiment lexicons are often useful in sentence-level sentiment analysis, the same terms may convey different sentiments in different contexts.  ...  We described several manual and automatic approaches to creating valence-and emotion-association lexicons. We also described work on sentence-level sentiment analysis.  ... 
doi:10.1016/b978-0-08-100508-8.00009-6 fatcat:jpsekaalejgmjbxzerrqc7o5yu

New Avenues in Opinion Mining and Sentiment Analysis

Erik Cambria, Bjorn Schuller, Yunqing Xia, Catherine Havasi
2013 IEEE Intelligent Systems  
Here, the history, current use, and future of opinion mining and sentiment analysis are discussed, along with relevant techniques and tools.  ...  The Web holds valuable, vast, and unstructured information about public opinion.  ...  Opinion mining and sentiment analysis are inextricably bound to the affective sciences that attempt to understand human emotions.  ... 
doi:10.1109/mis.2013.30 fatcat:3gx4egzq3vawdd3ujkpq3wmfhm


K. Venkata Raju
2017 International Journal of Advanced Research in Computer Science  
Sentiment Analysis(SA) persist to be a most significant research problem due to its immense applications, recognize the sentiment orientation of terms of sentiment which is the sentiment analysis fundamental  ...  Sentiment Analysis is a computational treatment of opinions and subjectivity of text focuses on either short/long range syntactic or semantic dependencies.  ...  Proposed technique for subject mining in emotion based on study of anaphoric expression from a sentence then compares 2 methods for analysis of affect.  ... 
doi:10.26483/ijarcs.v8i7.4448 fatcat:o5anrkuknvdzfdn6275zdeyrsa

Sentiment Analysis in Social Streams [chapter]

Hassan Saif, F. Javier Ortega, Miriam Fernández, Iván Cantador
2016 Human–Computer Interaction Series  
In this chapter we review and discuss the state of the art on sentiment analysis in social streams -such as web forums, micro-blogging systems, and social networks-, aiming to clarify how user opinions  ...  , affective states, and intended emotional effects are extracted from user generated content, how they are modeled, and how they could be finally exploited.  ...  36] ; The attitudes may correspond to personal opinions and evaluations, affective states (sentiments and moods), or intended emotional effects.  ... 
doi:10.1007/978-3-319-31413-6_7 dblp:series/hci/SaifOFC17 fatcat:k5r5yiice5fjbdvvtqg73wcdhm

A Survey on Visual Sentiment Analysis

Alessandro Ortis, Giovanni Maria Farinella, Sebastiano Battiato
2020 IET Image Processing  
Visual Sentiment Analysis aims to understand how images affect people, in terms of evoked emotions.  ...  A formalization of the problem is discussed, considering different levels of granularity, as well as the components that can affect the sentiment toward an image in different ways.  ...  The proposed system has been evaluated on the tasks of emoji prediction, sentiment analysis and emotion prediction.  ... 
doi:10.1049/iet-ipr.2019.1270 fatcat:cuhaluxac5ar5ky4rkoqmug6x4

Emotion Recognition for Education using Sentiment Analysis

María Lucia Barron-Estrada, Ramón Zatarain-Cabada, Raúl Oramas-Bustillos
2019 Research in Computing Science  
In the case of sentiment analysis in text, most of the research focuses on recognizing polarities (positive and negative).  ...  in an ITS (or any learning environment) to detect sentiments and/or emotions of the students.  ...  In [8] a model of sentiment analysis is presented to extract the opinions of the students to evaluate the quality of a course in two steps.  ... 
doi:10.13053/rcs-148-5-8 fatcat:vojof3uzazckxelxdmp4imtviq

Sentimental Analysis of a Sentence

Fazil Amin Mir, Ravinder Pal Singh, Dr. Monika Mehra
2022 International Journal of Innovative Research in Computer Science & Technology  
Sentimental examination or assessment mining is a procedure of regular language handling which is utilized to decide the extremity of the content ( i.e, regardless of whether the content is good , negative  ...  Nostalgic investigation acts like an incredible asset for clients to separate the needful data just as to total the aggregate assessments of the surveys.  ...  The emoticons (emojis) and hence the emotions or sentiments are easier to categorize. The Lexicon -based technique is frequently used in emotion level analysis.  ... 
doi:10.55524/ijircst.2022.10.1.3 fatcat:lcuomy2id5bgnklbic7rrad5ay
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