Non Negative Matrix Factorization
Topic Modeling
Key Techniques in Text Analysis
Understanding Trends Through Text
Building Customer Profiles with Text Analytics
Advanced Techniques in Text Data Analysis
Techniques for Mining Customer Feedback Text
Strategies for Mining Textual Data
Topic Identification 
Non-
negative Matrix Factorization (NMF): A matrix factorization technique that decomposes the document-term matrix into topics and their corresponding terms
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Topic Modeling Non-
negative Matrix Factorization (NMF): A matrix factorization technique that decomposes the document-term matrix into two lower-dimensional matrices, representing topics and their corresponding words
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Key Techniques in Text Analysis Sentiment Analysis: Determining the sentiment expressed in a text, whether positive,
negative, or neutral
...Non-negative
Matrix Factorization (NMF): A matrix factorization technique used to reduce dimensionality and extract topics
...
Understanding Trends Through Text Sentiment Analysis: The use of algorithms to determine the sentiment expressed in text, whether positive,
negative, or neutral
...Non-Negative
Matrix Factorization (NMF): A matrix factorization technique useful for extracting topics from documents
...
Building Customer Profiles with Text Analytics be accomplished through: Lexicon-Based Approaches: Utilizing predefined lists of words associated with positive or
negative sentiments
...Non-Negative
Matrix Factorization (NMF): A matrix factorization technique used to extract topics from text data
...
Advanced Techniques in Text Data Analysis Sentiment Analysis: Determining the sentiment expressed in a text, such as positive,
negative, or neutral
...Non-negative
Matrix Factorization (NMF): A matrix factorization technique that decomposes the document-term matrix into topics
...
Techniques for Mining Customer Feedback Text Non-
negative Matrix Factorization (NMF): A matrix factorization technique that helps in extracting topics from text
...
Strategies for Mining Textual Data Key aspects include: Polarity Detection: Identifying whether the sentiment is positive,
negative, or neutral
...Non-negative
Matrix Factorization (NMF): A matrix factorization technique used to extract topics from documents
...
Techniques for Text Analysis Reporting Sentiment can be categorized as positive,
negative, or neutral
...Non-negative
Matrix Factorization (NMF) A linear algebra technique that factorizes the document-term matrix into two lower-dimensional matrices
...
Techniques Sentiment Analysis: Determining the sentiment expressed in a piece of text, whether positive,
negative, or neutral
...Non-negative
Matrix Factorization (NMF) A linear algebraic approach to factorizing a matrix into two lower-dimensional matrices
...
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