Challenges Facing Text Analysis Due to the global reach of many investigations, a lot of interest also exists with text analysis in multi-language collections. Multi-language text analysis is much more complex than it appears because, in addition to differences in character sets and words, text analysis makes intensive use of statistics as well as the linguistic properties (such as conjugation, grammar, tenses or meanings) of a language
Multi-lingual text collection hide more complexities than it initially look like, because, in addition to differences in character sets and words, text analysis makes intensive use of statistics as well as the linguistic properties (such as conjugation, grammar, tenses or meanings) of a language
About Document Intelligence for the Enterprise - Shinydocs Corporation enables the digital enterprise by leveraging modern artificial intelligence and machine learning to manage 100% of enterprise data. With the best AI auto-classification and a “user-first” methodology, Shinydocs’ goal is to...
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State-of-the art text analysis supports multiple languages, which is critical when investigations go global and involve collections of information in various languages
Advanced data visualization: Text analysis is often mentioned in the same sentence as information (or data) visualization; in large part because visualization is one of the viable technical tools for information analysis after unstructured information has been structured
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