A Multilingual Lexicon-based Approach for Sentiment Analysis in Social and Cultural Information System Data

Abstract

Sentiment analysis, also known as opinion mining, has become ubiquitous in our society, with applications in online searching, computer vision, image understanding, artificial intelligence and marketing communications. In this paper, is described an unsupervised automatic method of multilingual lexicon-based sentiment analysis algorithm, with a dictionarybased approach. The developed algorithm was tested in the sentiment analysis of users' publications on a digital tourism platform. The results obtained demonstrate the efficiency of the solution, which presents a high accuracy in the classification of publications in four different languages.

Multilingual Sentiment Analysis Using Deep Learning: Survey

“…The devised schemes were implemented and tested in the sentiment analysis of drug-related publications on a digital tourism platform. The obtained results demonstrate the effectiveness of the approach, indicating a high level of accuracy in categorizing publications written in four different languages [6].…”

“…Contextual understanding is limited because of the MLA approach's presumption that words have a set polarity regardless of their context. When the same word has a different sentiment based on the context, this can result in inaccurate sentiment analysis results [6].…”

“…Research Gaps Solution [6] Inability to recognize nuances Developing more sophisticated lexicons as well as using machine learning techniques that can increase the precision of sentiment analysis in data from social and cultural information systems [20].…”

Multilingual Sentiment Analysis Using Deep Learning: Survey

“…Research question: Multilingual sentiment Analysis using deep learning Multilingual opinion Analysis using deep learning Query NO 5 Cross lingual emotion Analysis using deep learning Query NO 6 Multilingual Sentiment Mining using deep learning Query NO 7 Multilingual Opinion mining using deep learning Query NO 8 Cross lingual opinion mining using deep learning Query NO 9 Bilingual opinion mining using deep learning…”

“…In recent times, sentiment analysis has garnered increased attention, notably with the widespread utilization of social media platforms. Its predominant applications are evident in business operations and consumer support services [6,7]. In the past decade, the advancement of deep learning, supervised machine learning, and transfer learning techniques has facilitated more precise and sophisticated outcomes in sentiment analysis.…”