Concept-based searching using LSI has been applied to the eDiscovery process by leading providers as early as 2003. LSI automatically adapts to new and changing terminology, and has been shown to be very tolerant of noise (i.e., misspelled words, typographical errors, unreadable characters, etc.). This is especially important for applications …
Read More »Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
nlp semantic analysis can also perform cross-linguistic concept searching and example-based categorization. For example, queries can be made in one language, such as English, and conceptually similar results will be returned even if they are composed of an entirely different language or of multiple languages. We can visualize the learned …
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