2021 IEEE Pune Section International Conference (PuneCon) 2021
DOI: 10.1109/punecon52575.2021.9686528
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Word Relationships are not Created Equally

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“…Furthermore, we expanded the SDG keywords collection by referencing the Chinese Synonym Thesaurus from the Harbin Institute of Technology. The word2Vec model is beneficial for natural language processing tasks, as it can capture semantic relationships and word similarities in a vector space, enabling more accurate language understanding and word embedding processes [36,37]. Additionally, it has the potential to enhance various applications, such as in information retrieval and text classification, by providing context-aware word representations [38].…”
Section: Data Collection Preprocessing and Analysismentioning
confidence: 99%
“…Furthermore, we expanded the SDG keywords collection by referencing the Chinese Synonym Thesaurus from the Harbin Institute of Technology. The word2Vec model is beneficial for natural language processing tasks, as it can capture semantic relationships and word similarities in a vector space, enabling more accurate language understanding and word embedding processes [36,37]. Additionally, it has the potential to enhance various applications, such as in information retrieval and text classification, by providing context-aware word representations [38].…”
Section: Data Collection Preprocessing and Analysismentioning
confidence: 99%