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Generating, Refining and Using Sentiment Lexicons [chapter]

Maarten de Rijke, Valentin Jijkoun, Fons Laan, Wouter Weerkamp, Paul Ackermans, Gijs Geleijnse
2012 Essential Speech and Language Technology for Dutch  
This chapter is distributed under the terms of the Creative Commons Attribution Noncommercial License, which permits any noncommercial use, distribution, and reproduction in any medium, provided the original  ...  author(s) and source are credited.  ...  ://www.lemurproject.org/indri/ Generating, Refining and Using Sentiment Lexicons http://www.cs.pitt.edu/mpqa/ Generating, Refining and Using Sentiment Lexicons Generating, Refining  ... 
doi:10.1007/978-3-642-30910-6_20 dblp:series/tanlp/RijkeJLWAG13 fatcat:jo63nb7jcvhczoul72dbdkwcfm

Уточнение русскоязычных словарей эмоциональной лексики с использованием тезауруса RuThes (Refinement of Russian Sentiment Lexicons Using RuThes Thesaurus)

Natalia V. Loukachevitch, Ilia Chetviorkin
2014 International Conference on Data Analytics and Management in Data Intensive Domains  
At the second stage, the ordered list of sentiment words is refined using the thesaurus information.  ...  This combined model is applied to several domains and at last the domain-specific sentiment lexicons are united to create an improved version of the Russian sentiment lexicon in the generalized domain  ...  Refinement of domain-sentiment sentiment lexicons using RuThes thesaurus To increase the quality of extracted sentiment lexicons we refine them with general thesaurus for Russian language RuThes [7] .  ... 
dblp:conf/rcdl/LoukachevitchC14 fatcat:42lzowm4zrgnbasr4wgpxd6ggi

Different Aggregation Strategies for Generically Contextualized Sentiment Lexicons

Stefan Gindl
2010 European Conference on Principles of Data Mining and Knowledge Discovery  
This work investigates strategies for extracting non-generic features to be integrated into a socalled contextualized sentiment lexicon, capable of getting the context correctly and assigning sentiment  ...  Thus, it is important to also invoke context information to refine the initial values of sentiment terms. Moreover, domain-independence is desirable to avoid using a topic determination beforehand.  ...  Generation of the Contextualized Lexicon Classifying an Unknown Document Fig. 3 . Creation and application of a contextualized sentiment lexicon.  ... 
dblp:conf/pkdd/Gindl10 fatcat:az4plbynzretxbiz6ofksm7ljq

FURTHER INVESTIGATIONS ON DEVELOPING AN ARABIC SENTIMENT LEXICON

Omar Abdullah Batarfi
2020 Zenodo  
Also, this paper shows how to integrate different lexicons and to refine them.  ...  However, the coverage of all Arabic sentiment expressions can be applied using refined regular expressions rather than a large number of lexical entities.  ...  ACKNOWLEDGMENTS This project was funded by the National Plan for Science, Technology and Innovation (MAARIFAH) -King Abdulaziz City for Science and Technology -the Kingdom of Saudi Arabiaaward number (  ... 
doi:10.5281/zenodo.3598326 fatcat:4zpmptc5xvfivlgbbejlyiziaa

Refined Global Word Embeddings Based on Sentiment Concept for Sentiment Analysis

Yabing Wang, Guimin Huang, Jun Li, Hui Li, Ya Zhou, Hua Jiang
2021 IEEE Access  
Sentiment Analysis is an important research direction of natural language processing, and it is widely used in politics, news and other fields.  ...  of sentiment information and provide more accurate semantics and sentiment representation for words.  ...  First, we embed different features such as POS, position, sentiment and sentiment concept in the original word vectors, which generated by Word2Vec and Glove, to obtain Refined-Word2Vec and Refined-GloVe  ... 
doi:10.1109/access.2021.3062654 fatcat:d3i2dnrnjfeovks5raig5wq6xi

Automatic Construction of Context-Aware Sentiment Lexicon in the Financial Domain Using Direction-Dependent Words [article]

Jihye Park, Hye Jin Lee, Sungzoon Cho
2021 arXiv   pre-print
The most popular examples of such documents include analyst reports and economic news, the analysis of which is frequently used to capture the trends in market sentiments.  ...  Specifically, we construct a lexicon named Senti-DD for the Sentiment lexicon composed of Direction-Dependent words, which expresses each term a pair of a directional word and a direction-dependent word  ...  • VADER: VADER [29] is a general-purpose sentiment analysis library based on a curated lexicon of 7,517 words.  ... 
arXiv:2106.05723v1 fatcat:l7qwllgehfdsfiqbz6bgt753rm

Refining Word Embeddings for Sentiment Analysis

Liang-Chih Yu, Jin Wang, K. Robert Lai, Xuejie Zhang
2017 Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing  
The refinement model is based on adjusting the vector representations of words such that they can be closer to both semantically and sentimentally similar words and further away from sentimentally dissimilar  ...  Word embeddings that can capture semantic and syntactic information from contexts have been extensively used for various natural language processing tasks.  ...  Acknowledgments This work was supported by the Ministry of Science and Technology, Taiwan, ROC, under Grant No. MOST 105-2221-E-155-059-MY2 and MOST 105-2218-E-006-028.  ... 
doi:10.18653/v1/d17-1056 dblp:conf/emnlp/YuWLZ17 fatcat:56x7afrcf5fqlkobvgkq3zeuau

Twitter Sentiment Analysis on Indian Government Project using R

2019 International journal of recent technology and engineering  
Opinion Lexicon based approach categorized the sentiment of tweets in three categories, while Emotion Lexicon based approach refined them into eight more categories.  ...  Twitter, using R programming language. Twitter API was used to collect the primary data. Tweets were analyzed by using opinion lexicon and Emotion lexicon-based approaches.  ...  On the refined dataset polarity operation is being applied with bigram features. The polarity function is used for generating the sentiment scores for each tweet.  ... 
doi:10.35940/ijrte.c6612.098319 fatcat:iwjqpdv4kjecrfmzfo4fssvrae

The Contribution of Embeddings to Sentiment Analysis on YouTube

Moniek Nieuwenhuis, Malvina Nissim
2019 Italian Conference on Computational Linguistics  
We show that indomain (YouTube) embeddings perform better than previously used generic embeddings, achieving state-of-the-art performance on most of the tasks.  ...  We also show that a simple method for creating sentiment-aware embeddings outperforms previous strategies, and that sentiment embeddings are more informative than plain embeddings for the SenTube tasks  ...  Acknowledgments We would like to thank the Center for Information Technology of the University of Groningen for providing access to the Peregrine high perfor-mance computing cluster which we used to run  ... 
dblp:conf/clic-it/NieuwenhuisN19 fatcat:us76ei7eonecfcearxzztfj4q4

A :) Is Worth a Thousand Words: How People Attach Sentiment to Emoticons and Words in Tweets

Marina Boia, Boi Faltings, Claudiu-Cristian Musat, Pearl Pu
2013 2013 International Conference on Social Computing  
Thus, using the text accompanying emoticons to train sentiment models is not likely to produce the best results, a fact that we show by comparing lexicons generated using emoticons with others generated  ...  Thus, emoticons are useful as predictors of tweet sentiment and should not be ignored in sentiment classification.  ...  A second method iteratively refines a seed lexicon through word frequencies in positive and negative tweets. To generate lexicons, we employ two seed sets.  ... 
doi:10.1109/socialcom.2013.54 dblp:conf/socialcom/BoiaFMP13 fatcat:kdbqm2r4irggra5a2ro7g3khmm

Cross-Domain Co-Extraction of Sentiment and Topic Lexicons

Fangtao Li, Sinno Jialin Pan, Ou Jin, Qiang Yang, Xiaoyan Zhu
2012 Annual Meeting of the Association for Computational Linguistics  
In the first step, we generate a few high-confidence sentiment and topic seeds in the target domain.  ...  topic and sentiment words.  ...  Finally, we use the sentiment seeds and general patterns to generate topic seeds in the target domain.  ... 
dblp:conf/acl/LiPJYZ12 fatcat:3ofjauzip5he3bs6cpggomx5pa

Lingmotif: A User-focused Sentiment Analysis Tool

Antonio Moreno-Ortiz
2017 Revista de Procesamiento de Lenguaje Natural (SEPLN)  
The analysis is based on the identification of sentiment-laden words and phrases contained in the application's rich core lexicons, and employs context rules to account for sentiment shifters.  ...  Lingmotif thus aims to become a general-purpose Sentiment Analysis tool for discourse analysis, rhetoric, psychology, marketing, the language industries, and others.  ...  The creation process of Lingmotif's core lexicons basically involves merging freely available sentiment lexicons, adapt the merged list to our format and refine it using corpus analysis techniques and  ... 
dblp:journals/pdln/Ortiz17 fatcat:uvntzqln3faa7i3dieodeszwna

An Aspect-Lexicon Creation and Evaluation Tool for Sentiment Analysis Researchers [chapter]

Mus'ab Husaini, Ahmet Koçyiğit, Dilek Tapucu, Berrin Yanikoglu, Yücel Saygın
2012 Lecture Notes in Computer Science  
2) provides a general and extendable sentiment analysis environment to help researchers analyze the behavior and errors of a core sentiment analysis engine using a particular lexicon.  ...  In this demo paper, we present SARE, a modular and extendable semi-automatic system that 1) assists researchers in building gold-standard lexicons and evaluating their lexicon extraction algorithms; and  ...  sentiment analysis system using the generated lexicon versus some other available lexica.  ... 
doi:10.1007/978-3-642-33486-3_51 fatcat:msjd3di6pnegdaax6swu7g6z6y

Extracting features with medical sentiment lexicon and position encoding for drug reviews

Sisi Liu, Ickjai Lee
2019 Health Information Science and Systems  
We propose a new feature extraction approach utilising position embeddings to generate a medical domain enhanced sentiment lexicon with position encoding representation for drug review sentiment analysis  ...  Experiments on different feature extraction methods using two types of sentiment lexicons with various machine learning classifiers, support the superior performance of sentiment classification with position  ...  To be more specific, Pseudocode 2 summarizes the computational process for generating medical sentiment lexicon using word2Vec model.  ... 
doi:10.1007/s13755-019-0072-6 pmid:31168364 pmcid:PMC6542915 fatcat:5aquunutbfcf7jujwlzozft6eq

Cross-lingual Sentiment Lexicon Learning With Bilingual Word Graph Label Propagation

Dehong Gao, Furu Wei, Wenjie Li, Xiaohua Liu, Ming Zhou
2015 Computational Linguistics  
In this article we address the task of cross-lingual sentiment lexicon learning, which aims to automatically generate sentiment lexicons for the target languages with available English sentiment lexicons  ...  Particularly, we show that both synonym and antonym word relations can be used to build the intra-language relation, and that the word alignment information derived from bilingual parallel sentences can  ...  Acknowledgments The work described in this article was supported by a Hong Kong RGC project (PolyU no. 5202/12E) and a National Nature Science Foundation of China (NSFC no. 61272291).  ... 
doi:10.1162/coli_a_00207 fatcat:3yxt3hfdjrfrnp3zfajbcg4zou
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