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Analyzing my text messages with my ex-boyfriend

teresaibarra.com · 853 words · saved by 1 readers

Sentiment analysis is the process of computationally identifying and categorizing the emotions expressed in a piece of text as positive, negative, or neutral. NLTK's VADER tools were run on every message that contained text. The following graphs represent the compound score over time. These were the longest messages we ever sent to each other. In a way I hoped this would be something spicy like a long, drawn-out argument. But it turns out I just needed help with configuring Homebrew and he was geeking out about his philosophy meetup. The following graphs represent how often we sent specific words to each other. I trained a Biterm topic model to identify 40 recurring topics in our text messages. The model then assigned a topic to every message containing text. The following graphs describe the frequency of a given topic over time. The model describes a given topic as a list of words. The list is ordered from most to least relevance. I added a possible interpretation of this list for eac

Analyzing my text messages with my ex-boyfriend Analyzing my text messages with my ex-boyfriend by Teresa Ibarra Message frequency We began dating in the summer of 2015 and broke up in the spring of 2016. Total messages from Teresa Total messages from my ex Sentiment analysis Sentiment analysis is the process of computationally identifying and categorizing the emotions expressed in a piece of text as positive, negative, or neutral. NLTK's VADER tools were run on every message that contained text. The following graphs represent the compound score over time. Combined messages Teresa's messages H

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