Online media as a price monitor: Text analysis using text extraction technique and jaro-winkler similarity algorithm
Online media has become an essential part of everyday life in modern society. Everyone or organization is free to share their opinions and feelings about any topic on it, including information or news about commodity price fluctuations. Commodity price data from the National Strategic Price Informat...
Main Authors: | Nurcahyawati, Vivine, Mustaffa, Zuriani |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
IEEE
2020
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/36781/1/Online%20media%20as%20a%20price%20monitor%20-%20Text%20analysis%20.pdf http://umpir.ump.edu.my/id/eprint/36781/2/Online%20Media%20as%20a%20Price%20Monitor%20-%20Text%20Analysis_FULL.pdf |
Similar Items
-
Improving sentiment reviews classification performance using support vector machine-fuzzy matching algorithm
by: Nurcahyawati, Vivine, et al.
Published: (2023) -
Feature selection based on particle swarm optimization algorithm for sentiment analysis classification
by: Nurcahyawati, Vivine, et al.
Published: (2021) -
Lévy mutation in artificial bee colony algorithm
for gasoline price prediction
by: Mustaffa, Zuriani, et al.
Published: (2012) -
A proposed method for the semantic Similarity use WordNet to handle the ambiguity in Social Media text
by: Ali Muttaleb, Hasan, et al.
Published: (2019) -
A Literature Review on Gold Price Predictive Techniques
by: Nurul Asyikin, Zainal, et al.
Published: (2015)