A new ANEW: Evaluation of a word list for sentiment analysis in microblogs

Abstract

Sentiment analysis of microblogs such as Twitter has recently gained a fair amount of attention. One of the simplest sentiment analysis approaches compares the words of a posting against a labeled word list, where each word has been scored for valence, -- a 'sentiment lexicon' or 'affective word lists'. There exist several affective word lists, e.g., ANEW (Affective Norms for English Words) developed before the advent of microblogging and sentiment analysis. I wanted to examine how well ANEW and other word lists performs for the detection of sentiment strength in microblog posts in comparison with a new word list specifically constructed for microblogs. I used manually labeled postings from Twitter scored for sentiment. Using a simple word matching I show that the new word list may perform better than ANEW, though not as good as the more elaborate approach found in SentiStrength.

6 pages, 4 figures, 1 table, Submitted to "Making Sense of Microposts (#MSM2011)"

Cited by in corpus (20)

• Automatic Detection of Cyberbullying in Social Media Text
• Sentiment analysis and opinion mining on educational data: A survey
• Creating emoji lexica from unsupervised sentiment analysis of their descriptions
• Emotion Detection for Misinformation: A Review
• Practical and Ethical Considerations in the Effective use of Emotion and Sentiment Lexicons
• Uncovering the Limits of Text-based Emotion Detection
• Friends and Enemies of Clinton and Trump: Using Context for Detecting Stance in Political Tweets
• Benchmarking sentiment analysis methods for large-scale texts: A case for using continuum-scored words and word shift graphs
• People's Attitudes Toward Automated Vehicle and Transit Integration: Case Study of Small Urban Areas
• Topic and Sentiment Analysis on OSNs: a Case Study of Advertising Strategies on Twitter
• The relationship between sentiment score and COVID-19 cases in the United States
• Enhancing search engine precision and user experience through sentiment-based polysemy resolution
• Smart Sentiment Analysis-based Search Engine Classification Intelligence
• Discovering Airline-Specific Business Intelligence from Online Passenger Reviews: An Unsupervised Text Analytics Approach
• A Clustering Analysis of Tweet Length and its Relation to Sentiment
• Sentiment Analysis of German Twitter
• Detecting Cyber-Related Discussions in Online Social Platforms
• Danish Stance Classification and Rumour Resolution
• Customer Sentiment Analysis using Weak Supervision for Customer-Agent Chat
• A Blast From the Past: Personalizing Predictions of Video-Induced Emotions using Personal Memories as Context