Sentimental Analysis Using Fuzzy and Naive Bayes

被引：0

作者：

Mehra, Ruchi ^{[1
]}

Bedi, Mandeep Kaur ^{[1
]}

Singh, Gagandeep ^{[1
]}

Arora, Raman ^{[1
]}

Bala, Tannu ^{[1
]}

Saxena, Sunny ^{[1
]}

机构：

[1] Webtunix Solut Pvt Ltd, Mohali, India

来源：

2017 INTERNATIONAL CONFERENCE ON COMPUTING METHODOLOGIES AND COMMUNICATION (ICCMC) | 2017年

关键词：

Sentiment analysis; opinion mining; classification; machine learning; Natural language processing; deep learning; neural networks; Artificial Intelligence; Behaviour Analysis;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Sentimental Analysis is the best way to judge people's opinion regarding a particular post. In this paper we present analysis for sentiment behavior of Twitter data. The proposed work utilizes the naive Bayes and fuzzy Classifier to classify Tweets into positive, negative or neural behavior of a particular person. We present experimental evaluation of our dataset and classification results which proved that combined proposed method is more efficient in terms of Accuracy, Precision and Recall.

引用

页码：945 / 950

页数：6

共 50 条

[31] Comparison of Accuracy between Convolutional Neural Networks and Naive Bayes Classifiers in Sentiment Analysis on Twitter
Sunarya, P. O. Abas
Refianti, Rina
Mutiara, Achmad Benny
Octaviani, Wiranti
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2019, 10 (05) : 77 - 86
[32] Classification using Hierarchical Naive Bayes models
Langseth, H
Nielsen, TD
MACHINE LEARNING, 2006, 63 (02) : 135 - 159
[33] Hierarchical Sentence Sentiment Analysis Of Hotel Reviews Using The Naive Bayes Classifier
Kurniawan, Sandy
Kusumaningrum, Retno
Timu, Melnyi Ehonia
2018 2ND INTERNATIONAL CONFERENCE ON INFORMATICS AND COMPUTATIONAL SCIENCES (ICICOS), 2018, : 104 - 108
[34] Sentiment Analysis on Twitter Data-set using Naive Bayes Algorithm
Parveen, Huma
Pandey, Shikha
PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON APPLIED AND THEORETICAL COMPUTING AND COMMUNICATION TECHNOLOGY (ICATCCT), 2016, : 416 - 419
[35] Software Defect Prediction Using Principal Component Analysis and Naive Bayes Algorithm
Dhamayanthi, N.
Lavanya, B.
PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA ENGINEERING (ICCIDE 2018), 2019, 28 : 241 - 248
[36] Analysis and Classification of Danger Level in Android Applications using Naive Bayes Algorithm
Utama, Ridho Alif
Sukarno, Parman
Jadied, Erwid Musthofa
2018 6TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY (ICOICT), 2018, : 281 - 285
[37] SMS Classification Method for Disaster Response using Naive Bayes Algorithm
Ordonez, Aris J.
Paje, Rommel Evan J.
Naz, Rodel N.
2018 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2018), 2018, : 233 - 236
[38] Intrusion Detection Model Using Naive Bayes and Deep Learning Technique
Tabash, Mohammed
Abd Allah, Mohamed
Tawfik, Bella
INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2020, 17 (02) : 215 - 224
[39] Aspect-based Sentiment Analysis to Review Products Using Naive Bayes
Mubarok, Mohamad Syahrul
Adiwijaya
Aldhi, Muhammad Dwi
INTERNATIONAL CONFERENCE ON MATHEMATICS: PURE, APPLIED AND COMPUTATION: EMPOWERING ENGINEERING USING MATHEMATICS, 2017, 1867
[40] Comparison of SVM and Naive Bayes for Sentiment Classification using BERT data
Rana, Shivani
Kanji, Rakesh
Jain, Shruti
2022 5TH INTERNATIONAL CONFERENCE ON MULTIMEDIA, SIGNAL PROCESSING AND COMMUNICATION TECHNOLOGIES (IMPACT), 2022,

← 1 2 3 4 5 →