Long-Term Trends in Public Sentiment in Indian Demonetisation Policy

Darliansyah, Adi; Wandabwa, Herman Masindano; Naeem, M. Asif; Mirza, Farhaan; Pears, Russel

doi:10.1007/978-981-13-6052-7_6

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…Our sentiment analysis results depend on VADER (Valence Aware Dictionary for Sentiment Reasoning) Sentiment Analyzer, a lexicon and rule-based resource for evaluating sentiments. It has over 9,000 lexical features and contains required sentiment scores associated with terms, emoticons, and slang [27], e.g., words that are usually classified as either positive or negative according to their semantic orientation. The results are shown in Figure 5.…”

Section: Results Of User Reviews' Text Analysismentioning

confidence: 99%

Hybrid Approach for User Reviews' Text Analysis and Visualization: A Case Study of Amazon User Reviews

Alnusyan¹,

Almotairi²,

Almufadhi³

et al. 2022

Int. J. Interact. Mob. Technol.

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Nowadays, many people prefer to purchase through online websites. Usually, those people start with reading user reviews and comments before making a purchase decision. The user reviews are considered powerful sources of information about products, in which users share opinions and previous experiences on using these products. However, these reviews are mostly textual and uncategorized. Thus, new customers need to read a massive amount of reviews, one by one, to make a decision. This study attempts to bridge this gap and proposes a hybrid approach of topic modeling that combines supervised and unsupervised learning. In particular, the study collected a massive amount of Amazon user reviews, analyzed the reviews' texts, and combined two approaches of topic modeling, which are unsupervised and supervised learning, i.e., semi-supervised learning. Besides, the study makes classification on reviews based on sentiment analysis. The resulting reviews' topics and their sentiment classifications are displayed on a visual dashboard. The proposed hybrid approach showed better performance in terms of text analysis and clearer representation of review topics. The outcome of this study helps customers make their decision on purchase products in a more effortless and clearer way.

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Section: Results Of User Reviews' Text Analysismentioning

confidence: 99%

Hybrid Approach for User Reviews' Text Analysis and Visualization: A Case Study of Amazon User Reviews

Alnusyan¹,

Almotairi²,

Almufadhi³

et al. 2022

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

show abstract

“…Feature expansion using the Word2Vec model is a word embedding method that was used to represent a word in vector form (Darliansyah et al, 2019). Word2Vec is used in conjunction with other algorithms to classify sentiment accurately (Al-Saqqa & Awajan, 2019).…”

Section: Word2vecmentioning

confidence: 99%

Sentiment Analysis on Twitter Social Media towards Shopee E-Commerce through Support Vector Machine (SVM) Method

Hutapea,

Maharani

2023

jinav j. inf. vis.

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Shopee is e-commerce widely accessed and used in this era. Many people use Shopee because the products offered are cheaper and more affordable. Despite the fact that Shopee is a well-known e-commerce, it still requires responses and suggestions from the public to maintain or improve the features required. In this study, public sentiment analysis was carried out on Twitter social media related to the Shopee marketplace. This study collected data that contained tweets from predetermined keywords and used Word2Vec and Support Vector Machine classification methods. The use of Word2Vec influenced the level of accuracy so that it increased for each SVM kernel. Meanwhile, the best hyperparameter tuning was found in the polynomial kernel, with an accuracy rate of 93.20%.

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Long-Term Trends in Public Sentiment in Indian Demonetisation Policy

Cited by 2 publications

References 7 publications

Hybrid Approach for User Reviews' Text Analysis and Visualization: A Case Study of Amazon User Reviews

Hybrid Approach for User Reviews' Text Analysis and Visualization: A Case Study of Amazon User Reviews

Sentiment Analysis on Twitter Social Media towards Shopee E-Commerce through Support Vector Machine (SVM) Method

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