Methods and systems for monitoring and analyzing social media data
First Claim
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1. A method for analyzing social media data, the method comprising:
- obtaining, using one or more processors, social media data from a social media platform, wherein the social media data comprises documents from a plurality of users of the social media platform;
classifying the documents using a sentiment classifier;
tokenizing the documents into terms;
associating a sentiment classification with each term;
detecting a first event based on a number of occurrences of a first term in the documents;
providing information associated with the first event to a user, wherein the information comprises the first term and a sentiment classification associated with the first term; and
calculating a term frequency-inverse document frequency (“
TFIDF”
) metric for the first term, wherein;
the information associated with the first event further comprises the TFIDF metric,the TFIDF metric is a time normalized TFIDF metric, andthe TFIDF metric is calculated using the formula;
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Abstract
A system and method for analyzing social media data by obtaining social media data from a social media platform, where the social media data includes documents from multiple users of the social media platform; classifying the documents using a sentiment classifier; tokenizing the documents into terms; associating a sentiment with each term; detecting a first event based on a number of occurrences of a first term in the documents; and providing information associated with the event to a user, where the information includes the first term and a sentiment associated with the first term.
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Citations
14 Claims
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1. A method for analyzing social media data, the method comprising:
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obtaining, using one or more processors, social media data from a social media platform, wherein the social media data comprises documents from a plurality of users of the social media platform; classifying the documents using a sentiment classifier; tokenizing the documents into terms; associating a sentiment classification with each term; detecting a first event based on a number of occurrences of a first term in the documents; providing information associated with the first event to a user, wherein the information comprises the first term and a sentiment classification associated with the first term; and calculating a term frequency-inverse document frequency (“
TFIDF”
) metric for the first term, wherein;the information associated with the first event further comprises the TFIDF metric, the TFIDF metric is a time normalized TFIDF metric, and the TFIDF metric is calculated using the formula; - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system for analyzing social media data, the system comprising:
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a processing system comprising one or more processors; and a memory system comprising one or more computer-readable media, wherein the one or more computer-readable media contain instructions that, when executed by the processing system, cause the processing system to perform operations comprising; obtaining, using one or more processors, social media data from a social media platform, wherein the social media data comprises documents from a plurality of users of the social media platform; classifying the documents using a sentiment classifier; tokenizing the documents into terms; associating a sentiment classification with each term; detecting a first event based on a number of occurrences of a first term in the documents; and providing information associated with the first event to a user, wherein the information comprises the first term and a sentiment classification associated with the first term; calculating a term frequency-inverse document frequency (“
TFIDF”
) metric for the first term, wherein;the information associated with the first event further comprises the TFIDF metric, the TFIDF metric is a time normalized TFIDF metric and the TFIDF metric is calculated using the formula; - View Dependent Claims (9, 10, 11, 12, 13, 14)
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Specification