Sentiment Sentence Construction Algorithm of Newly-Coined Words and Emoticons Dictionary for Social Data Opinion Analysis

2021 ◽  
pp. 1074-1085
Author(s):  
Jin Sol Yang ◽  
Jihun Kang ◽  
Kwang Sik Chung ◽  
Kyoung-II Yoon
Keyword(s):  
Social Data ◽  
Opinion Analysis ◽  
Construction Algorithm ◽  
Sentence Construction

scholarly journals New approch of opinion analysis from big social data environment using a supervised machine learning algirithm

2021 ◽  
Vol 319 ◽  
pp. 01037
Author(s):  
Wiam Saidi ◽  
Abdellatif El Abderahmani ◽  
Khalid Satori
Keyword(s):  
Machine Learning ◽  
Supervised Machine Learning ◽  
The Internet ◽  
Social Data ◽  
Environment Analysis ◽  
Customer Reviews ◽  
Opinion Analysis ◽  
Learning Classifier ◽  
Data Environment ◽  
Input Variables

Sentiment analysis is a very substantial area of research in our environment. Many studies have focused on the topic in recent years. It has rapidly gained interest due to the unusual volume of opinion-bearing data on the Internet (Big Social Data). In this paper, we focus on sentiment environment analysis from Amazon customer reviews shared by a machine learning based approach. This process starts with the collection of reviews and their annotation followed by a text pre-processing phase in order to extract words that are reduced to their root. These words will be used for the construction of input variables using several combinations of extraction and weighting schemes. Classification is then performed by a supervised Machine Learning classifier. The results obtained from the experiments are very promising.

Parallel Fock Matrix Construction Algorithm for Molecular Orbital Calculation Specific Computer

2006 ◽  
Vol 5 (1) ◽  
pp. 179-188
Author(s):  
Hiroaki UMEDA ◽  
Yuichi INADOMI ◽  
Hiroaki HONDA ◽  
Umpei NAGASHIMA
Keyword(s):  
Molecular Orbital ◽  
Molecular Orbital Calculation ◽  
Construction Algorithm ◽  
Matrix Construction

Assembling and Optimizing Multiple Classifiers for User Opinion Analysis

2014 ◽  
Vol 36 (8) ◽  
pp. 1650-1658
Author(s):  
Yu-Ming LIN ◽  
Tao ZHU ◽  
Xiao-Ling WANG ◽  
Ao-Ying ZHOU
Keyword(s):  
Opinion Analysis ◽  
Multiple Classifiers

Fast construction algorithm based on FP-tree

2011 ◽  
Vol 31 (2) ◽  
pp. 438-440
Author(s):  
Zhi-ping CHEN ◽  
Yi-hong TAN ◽  
Xue-yong LI ◽  
Xi-dao LUAN
Keyword(s):  
Construction Algorithm

Negative Evidence in Language Classroom Activities

2003 ◽  
Vol 141-142 ◽  
pp. 301-344 ◽  
Author(s):  
Teresa Pica ◽  
Gay N. Washburn
Keyword(s):  
English Language Learners ◽  
Language Learners ◽  
English Language ◽  
Matter Content ◽  
Negative Evidence ◽  
Academic English ◽  
Classroom Activities ◽  
Sentence Construction ◽  
Language Classroom ◽  
Subject Matter Content

This study sought to identify and describe how negative evidence was made available and accessible in responses to learners during two classroom activities: a teacher-led discussion, which emphasized communication of subject matter content, and a teacher-led sentence construction exercise, which focused on application of grammatical rules. Data came from adult, pre-academic English language learners during six discussions of American film and literature, and six sets of sentence construction exercises. Findings revealed little availability of negative evidence in the discussions, as students' fluent, multi-error contributions drew responses that were primarily back-channels and continuation moves. Greater availability and accessibility of negative evidence were found in the sentence construction exercises, as students were given feedback following their completion of individual sentences. Results from the study suggested several pedagogical implications and applications.

Sign in / Sign up

Export Citation Format

Share Document