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Within the field of Natural Language Processing (NLP) there are a number of techniques that can be deployed for the purpose of information retrieval and understanding the relationships between documents. The growth in unstructured data requires better methods for legal teams to cut through and understand these relationships as efficiently as possible. The simplest way of finding similar documents is by using vector representation of text and cosine similarity. One method for concept searching and determining semantics between phrases is Latent Semantic Indexing/Latent Semantic Analysis (LSI/LSA). ....

Jerome Bellegarda , Susan Dumais , Microsoft Research , Mexico State University , Association Of Certified Specialists , Certifiede Discovery Specialists , Natural Language Processing , Latent Semantic , Latent Semantic Analysis , Singular Value Decomposition Technique , Bag Of Words Model , Singular Value Decomposition , New Mexico State University , சூசன் துமைச் , மைக்ரோசாஃப்ட் ஆராய்ச்சி , மெக்ஸிகோ நிலை பல்கலைக்கழகம் , சங்கம் ஆஃப் சிஇஆர்டிஐஎஃப்ஐஇடி வல்லுநர்கள் , இயற்கை மொழி ப்ரோஸெஸிஂக் , பை ஆஃப் சொற்கள் மாதிரி , புதியது மெக்ஸிகோ நிலை பல்கலைக்கழகம் ,