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Sentiment Analysis: Popularity Of Candidates For The President Of The United States

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-16985-4openalex-extracted

Current Trends in Web Engineering

inferredcites →https://doi.org/10.1007/s11192-010-0183-yopenalex-extracted

Indicators for a webometric ranking of open access repositories

inferredcites →https://doi.org/10.1145/1926180.1926204openalex-extracted

Enriching textbooks through data mining

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-13-6052-7_9openalex-snapshot

Opinion and Emotion Mining for Pakistan General Election 2018 on Twitter Data

inferred← citeshttps://doi.org/10.1109/icsitech.2016.7852647openalex-snapshot

A proposed method for predicting US presidential election by analyzing sentiment in social media

inferred← citeshttps://doi.org/10.26483/ijarcs.v9i1.5365openalex-snapshot

BIGDATA AND PREDICTIVE ANALYTICS IN THE ELECTION CAMPAIGN

inferred← citeshttps://doi.org/10.30591/jpit.v3i2.919openalex-snapshot

Opinion Mining Terhadap Toko Online Di Media Sosial Menggunakan Algoritma Naïve Bayes (Studi Kasus: Akun Facebook Dugal Delivry)

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