Text Tagging in Natural Language Processing
Text tagging is the technique of automatically adding tags or remarks to different bits of lengthy text as part of the comprehensive data gathering for analytics. Text tagging is a more thorough form of stratification than categorization, and it may provide deeper insight. Named entity extraction is a classic definition of text tagging or semantic tagging. A batch of complex text can be processed using this extraction tool to evaluate the names of individuals, brands, organizations, locations, or dates. The correlation and sequence of conversations between the mentioned entities might be determined using this method. Natural Language Processing Text Tagging can be performed fully automated, although computer software that conducts auto-tagging is also available. When the majority of the key criteria are known, some applications essentially employ rules and word lists to classify output suitably. However, more complicated systems (based on various cases) may leverage advanced natura