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Visualizing Parspeech Dataset's Sentiment Using Various Types of Sentiment Dictionaries


Overview of the Speech Dataset (Data Curation: 🔗)

ParlSpeech contains more than 3.9 million entire speeches in the key legislative chambers of the Czech Republic, Finland, Germany, the Netherlands, Spain, Sweden, and the United Kingdom. Speeches are annotated with date, speaker and party and collected by Rauh, De Wilde and Schwalbach (2017).

Countries Periods Dict Type Data Start-Date
The UK House of Commons 1988/11-2015/01 FINN, NRC, Bing,LIWC 1989
The Spanish Congresso 1989/11-2015/10 FINN, NRC, Bing,LIWC 1990
The German Bundestag 1991/03-2013/09 FINN, NRC, Bing,LIWC 1991
The Dutch Tweede Kamer 1994/12-2015/11 FINN, NRC, Bing,LIWC 1995
The Czech Poslaneck 1993/01-2016/06 FINN, NRC, Bing 1993
The Finnish Eduskunta 1991/04-2015/12 FINN, NRC, Bing 2009
The Swedish Riksdagen 1990/10-2015/12 FINN, NRC, Bing 1992

Lexicon Based Sentiment Scores

AFINN
The AFINN lexicon is a list of English terms manually rated for valence with an integer between -5 (negative) and +5 (positive) by Finn Årup Nielsen between 2009 and 2011.

NRC
The NRC Emotion Lexicon is a list of English words and their associations with eight basic emotions (anger, fear, anticipation, trust, surprise, sadness, joy, and disgust) and two sentiments (negative and positive). The annotations were manually done by crowdsourcing.

Bing
A list of English positive and negative opinion words or sentiment words (around 6800 words).

LIWC
Variables include affect, positive emotion, negative emotion, anxiety,anger and sadness.

Acknowledge

We acknowledge the use of the High Performance Computing Facility, CERES Cluster, and its associated support services at the University of Essex in the completion of my research projects.

About

Royce's project in 2019 Summer

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