Ensemble Method for Online Sentiment Classification Using Drift Detection-Based Adaptive Window Method

Idris Rabiu; Naomie Salim; Maged Nasser; Faisal Saeed; Waseem Alromema; Aisha Awal; Elijah Joseph; Amit Mishra

doi:10.1007/978-3-030-98741-1_11

Ensemble Method for Online Sentiment Classification Using Drift Detection-Based Adaptive Window Method

Idris Rabiu^*
, Naomie Salim
, Maged Nasser
, Faisal Saeed
, Waseem Alromema
, Aisha Awal
, Elijah Joseph
, Amit Mishra

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Citations (SciVal)

Original language	English
Title of host publication	Lecture Notes on Data Engineering and Communications Technologies
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	117-128
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-030-98741-1_11
Publication status	Published (VoR) - 2022

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	127
ISSN (Print)	2367-4512
ISSN (Electronic)	2367-4520

Keywords

Concept drift
Data streams
Ensemble classification
Sentiment analysis

Access to Document

10.1007/978-3-030-98741-1_11

Cite this

Rabiu, I., Salim, N., Nasser, M., Saeed, F., Alromema, W., Awal, A., Joseph, E., & Mishra, A. (2022). Ensemble Method for Online Sentiment Classification Using Drift Detection-Based Adaptive Window Method. In Lecture Notes on Data Engineering and Communications Technologies (pp. 117-128). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 127). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-98741-1_11

@inbook{acfc6eeef74a46598c0f8bd404432ad3,

title = "Ensemble Method for Online Sentiment Classification Using Drift Detection-Based Adaptive Window Method",

keywords = "Concept drift, Data streams, Ensemble classification, Sentiment analysis",

author = "Idris Rabiu and Naomie Salim and Maged Nasser and Faisal Saeed and Waseem Alromema and Aisha Awal and Elijah Joseph and Amit Mishra",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2022",

doi = "10.1007/978-3-030-98741-1\_11",

language = "English",

series = "Lecture Notes on Data Engineering and Communications Technologies",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "117--128",

booktitle = "Lecture Notes on Data Engineering and Communications Technologies",

}

Rabiu, I, Salim, N, Nasser, M, Saeed, F, Alromema, W, Awal, A, Joseph, E & Mishra, A 2022, Ensemble Method for Online Sentiment Classification Using Drift Detection-Based Adaptive Window Method. in Lecture Notes on Data Engineering and Communications Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol. 127, Springer Science and Business Media Deutschland GmbH, pp. 117-128. https://doi.org/10.1007/978-3-030-98741-1_11

Ensemble Method for Online Sentiment Classification Using Drift Detection-Based Adaptive Window Method. / Rabiu, Idris; Salim, Naomie; Nasser, Maged et al.
Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH, 2022. p. 117-128 (Lecture Notes on Data Engineering and Communications Technologies; Vol. 127).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Ensemble Method for Online Sentiment Classification Using Drift Detection-Based Adaptive Window Method

AU - Rabiu, Idris

AU - Salim, Naomie

AU - Nasser, Maged

AU - Saeed, Faisal

AU - Alromema, Waseem

AU - Awal, Aisha

AU - Joseph, Elijah

AU - Mishra, Amit

PY - 2022

Y1 - 2022

KW - Concept drift

KW - Data streams

KW - Ensemble classification

KW - Sentiment analysis

UR - https://www.scopus.com/pages/publications/85127915033

UR - https://www.scopus.com/pages/publications/85127915033#tab=citedBy

U2 - 10.1007/978-3-030-98741-1_11

DO - 10.1007/978-3-030-98741-1_11

M3 - Chapter

AN - SCOPUS:85127915033

T3 - Lecture Notes on Data Engineering and Communications Technologies

SP - 117

EP - 128

BT - Lecture Notes on Data Engineering and Communications Technologies

PB - Springer Science and Business Media Deutschland GmbH

ER -

Rabiu I, Salim N, Nasser M, Saeed F, Alromema W, Awal A et al. Ensemble Method for Online Sentiment Classification Using Drift Detection-Based Adaptive Window Method. In Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH. 2022. p. 117-128. (Lecture Notes on Data Engineering and Communications Technologies). doi: 10.1007/978-3-030-98741-1_11

Ensemble Method for Online Sentiment Classification Using Drift Detection-Based Adaptive Window Method

Publication series

Keywords

Access to Document

Other files and links

Fingerprint

Cite this