Words
Understanding Competitor Strategies through Text
Analyzing Social Media Text
Sentiment
Sentiment Tracking
Leveraging Text Data for Success
Understanding Competitor Behavior through Text
Visualizing Text Data
Text Mining for Customer Insights 
Data Preprocessing: Cleaning and preparing the data for analysis, which may include tokenization, stemming, and removing stop
words ...
Understanding Competitor Strategies through Text Sentiment Analysis Determines the emotional tone behind a series of
words ...
Analyzing Social Media Text Key NLP tasks in social media text analysis include: Tokenization: Breaking down text into individual
words or phrases
...
Sentiment Description Advantages Disadvantages Lexicon-based Utilizes a predefined list of
words associated with positive, negative, or neutral sentiments
...
Sentiment Tracking Description Example Lexicon-based Uses predefined lists of
words (lexicons) associated with positive or negative sentiments
...
Leveraging Text Data for Success Sentiment Analysis: This method determines the emotional tone behind a series of
words, helping businesses understand customer opinions and feelings
...
Understanding Competitor Behavior through Text 1 Sentiment Analysis Sentiment analysis involves determining the emotional tone behind a series of
words ...
Visualizing Text Data Word Clouds Word clouds visually represent the frequency of
words in a text corpus
...
Natural Language Natural language refers to the way humans communicate using spoken or written
words ...
Understanding Audience Preferences key techniques used in text analytics include: Sentiment Analysis: Identifying the emotional tone behind a series of
words to understand attitudes and opinions
...
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