Performance Evaluation of Word and Sentence Embeddings for Finance Headlines Sentiment Analysis

2019 ◽  
pp. 161-172 ◽  
Author(s):  
Kostadin Mishev ◽  
Ana Gjorgjevikj ◽  
Riste Stojanov ◽  
Igor Mishkovski ◽  
Irena Vodenska ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Sentiment Analysis

Sentiment Analysis for Performance Evaluation of Maintenance in Healthcare

2021 ◽  
pp. 359-367
Author(s):  
Lorenzo Mascii ◽  
Alessio Luschi ◽  
Ernesto Iadanza
Keyword(s):  
Performance Evaluation ◽  
Sentiment Analysis

Performance Evaluation of Sentiment Analysis Methods for Brazilian Portuguese

2017 ◽  
pp. 245-251 ◽  
Author(s):  
Douglas Cirqueira ◽  
Antonio Jacob ◽  
Fábio Lobato ◽  
Adamo Lima de Santana ◽  
Márcia Pinheiro
Keyword(s):  
Performance Evaluation ◽  
Sentiment Analysis ◽  
Brazilian Portuguese ◽  
Analysis Methods

scholarly journals A Sentiment Analysis Model of a Civil Service Performance Evaluation Using a Feminist Framework

2021 ◽  
Author(s):  
Shurui Cao
Keyword(s):  
Performance Evaluation ◽  
Sentiment Analysis ◽  
Civil Service ◽  
Administrative Law ◽  
Service Performance ◽  
Analysis Model ◽  
Dynamic Evaluation ◽  
Evaluation Mechanism

The aim of this article is to explore using sentiment analysis to assess the openness ofgovernments and establish a dynamic evaluation mechanism to supervise governments, andconsequently improve the administrative law on a feminist basis. I build a sentiment analysismodel based on communication between me and governments, discuss the implication of themodel, and propose potential improvements to the administrative law in China.

scholarly journals Computing Sentiment Polarity of Texts at Document and Aspect Levels

1970 ◽  
Vol 8 (1) ◽  
pp. 67-79
Author(s):  
Vivek Kumar Singh ◽  
Rajesh Piryani ◽  
Pranav Waila ◽  
Madhavi Devaraj
Keyword(s):  
Machine Learning ◽  
Performance Evaluation ◽  
Sentiment Analysis ◽  
Experimental Work ◽  
Major Work ◽  
User Reviews ◽  
Polarity Profile ◽  
Document Level ◽  
Blog Posts

This paper presents our experimental work on two aspects of sentiment analysis. First, we evaluate the performance of different machine learning as well as lexicon based methods for sentiment analysis of texts obtained from variety of sources. Our performance evaluation results are on six different datasets of different kinds, including movie reviews, blog posts and twitter feeds. To the best of our knowledge no such work on comprehensive evaluative account involving different techniques on variety of datasets have been reported earlier. The second major work that we report here is about the heuristic based scheme that we devised for aspect-level sentiment profile generation of movies. Our algorithmic formulation parses the user reviews for a movie and generates a sentiment polarity profile of the movie based on opinion expressed on various aspects in the user reviews. The results obtained for the aspect-level computation are also compared with the corresponding results obtained from the document-level approach. In summary, the paper makes two important contributions: (a) it presents a detailed evaluative account of both supervised and unsupervised algorithmic formulations on six datasets of different varieties, and (b) it proposes a new heuristic based aspect-level sentiment computation approach for movie reviews, which results in a more focused and useful sentiment profile for the movies.

Fine Particle Mass Monitoring with Low-Cost Sensors: Corrections and Long-Term Performance Evaluation

2019 ◽  
Author(s):  
Carl Malings ◽  
Rebecca Tanzer ◽  
Aliaksei Hauryliuk ◽  
Provat K. Saha ◽  
Allen L. Robinson ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Fine Particle ◽  
Low Cost ◽  
Particle Mass ◽  
Long Term Performance ◽  
Term Performance
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