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With the ever-growing deluge of online opinions, deciphering public sentiment has become a crucial element in diverse fields. Lexicon-based sentiment analysis, fueled by readily available emotion-tagged word lists, emerges as a potent tool in this landscape. Its simplicity and interpretability make it accessible to even non-technical audiences, fostering broader understanding of public opinion dynamics.
This paper delves into the heart of lexicon-based sentiment analysis, guiding readers through the construction of a basic sentiment model using readily available resources. We illustrate the versatile process, from lexicon selection and text pre-processing to sentiment score calculation and result interpretation with the aim to demystify sentiment analysis even for those with no prior technical knowledge. Whether you're a market researcher, a social media manager, or simply curious about public opinion, this paper equips you with the tools to navigate the terrain of sentiment and gain invaluable insights.
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Cite Article:
"Understanding and Developing Lexicon Based Sentiment Analysis Model", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 12, page no.831 - 835, December-2023, Available :http://www.ijrti.org/papers/IJRTI2312113.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator