Class Association and Attribute Relevancy Based Imputation Algorithm to Reduce Twitter Data for Optimal Sentiment Analysis

Class Association and Attribute Relevancy Based Imputation Algorithm to Reduce Twitter Data for Optimal Sentiment Analysis

Twitter sentiment analysis is a challenging task that involves various preprocessing steps including dimensionality reduction. Dimensionality reduction helps ensure low computational complexity and performance improvement during the classification process. In Twitter data, each tweet has feature val...

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Bibliographic Details
Main Authors: Maryum Bibi, Malik Sajjad Ahmed Nadeem, Imtiaz Hussain Khan, Seong-O Shim, Ishtiaq Rasool Khan, Uzma Naqvi, Wajid Aziz
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Classification
class association
dimensionality reduction
imputation
machine learning
preprocessing
Online Access:https://ieeexplore.ieee.org/document/8843854/

Internet

https://ieeexplore.ieee.org/document/8843854/

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