Presidential Debate Analysis Report - September 10, 2024

Speaking Time Distribution

This section displays the percentage of time each candidate spoke during the debate. It helps visualize how speaking time was distributed between the participants and moderators.

Extractive Summary

In this section, we provide a concise summary for each candidate using extractive summariztion. This technique selects the most important sentences from the debate based on word frequencies and relevance, offering a quick overview of the main points each candidate discussed.

VICE PRESIDENT KAMALA HARRIS

Kamala Harris: "I was raised as a middle-class kid. I am actually the only person on this stage who has a plan that is about lifting up the middle class and working people of America" Harris: I believe in the ambition, the aspirations, the dreams of the American people . My plan is to give a $50,000 tax deduction to start-up small businesses, knowing they are part of the backbone of America's economy . My opponent has a plan that I call the Trump sales tax, which would be a 20% tax on everyday goods that you rely on to get through the month . Donald Trump left us the worst attack on our democracy since the Civil War .

FORMER PRESIDENT DONALD TRUMP

The president says he has no sales tax and has tariffs on other countries . He says other countries are going to pay us back for all that we've done for the world . Inflation has broken up countries . Many things are 50, 60, 70, and 80% higher than they were just a few years ago . This has been a disaster for people, for the middle class, but for every class .

Word Clouds

Word clouds provide visual representation of the most frequently used words by each candidate. The larger the word, the more often it was used, helping to quickly identify key topics or terms mentioned by each candidate.

VICE PRESIDENT KAMALA HARRIS

FORMER PRESIDENT DONALD TRUMP

Sentiment Over Time

This section tracks the sentiment (positive, neutral, or negative) of each candidate's speech as the debate progresses. The sentiment is calculated based on the polarity of their statements during their turns to speak.

Cosine Similarity Over Time

Cosine Similarity Over Time measures how similar the language used by two candidates or between candidates and moderators is throughout the debate. It ranges from -1 to 1, where: 1 indicates that the language or topics are exactly alike at that point in time, 0 means there is no similarity, and -1 indicates complete dissimilarity.

By tracking this over the course of the debate, you can observe where candidates aligned or diverged in their arguments and language choices. Peaks suggest agreement or overlap in topics, while troughs indicate moments of contrasting positions or focus.

Named Entity Frequency

Named Entity Recognition (NER) identifies key entities such as people, organizations, locations, and events mentioned during the debate. By counting the frequency of these entities, NER helps highlight the topics and figures most central to each candidate's arguments. Higher frequencies indicate greater focus on those specific entities during the debate.

Ngrams (Word Combinations)

Ngrams refer to combinations of words that commonly appear together. A unigram represents a single word, a bigram represents a two-word phrase, and a trigram represents a three-word phrase. Analyzing ngrams helps reveal key phrases or terms that candidates repeatedly use, offering insights into their primary themes, talking points, and rhetorical strategies during the debate.

VICE PRESIDENT KAMALA HARRIS

• president united states: 8
• affordable care act: 7
• donald trump left: 4
• trump left us: 4
• left us worst: 3
• much common separates: 3
• common separates us: 3
• donald trump plan: 3
• let understand got: 3
• protections roe wade: 3

FORMER PRESIDENT DONALD TRUMP

• would never happened: 4
• people pouring country: 3
• nobody thought possible: 3
• hundreds billions dollars: 3
• millions millions people: 3
• even come close: 3
• millions people come: 3
• every one cases: 3
• people going prosecuted: 3
• 14 million votes: 3