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For Python 3+ try this sample Python code (or text version) variant instead. It can process about 16,000 tweets per second.įor RJB users, here is some sample RJB code from Adam Pantanowitz, University of the Witwatersrand.įor Python users, here is some sample Python code from Alec Larsen, University of the Witwatersrand. To use the Java version for research only (free), email from your academic email address. It allows wildcards in the idiom list file. It also has a special mode for binary and trinary classification on longer texts. It can conduct binary (positive/negative), trinary (positive/neutral/negative), single-scale classifications (-4 very negative to very positive +4) in addition to the standard type, and can conduct keyword-oriented and domain-oriented classifications.
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The Java version of SentiStrength is similar to the Windows version in core functions but has additional capabilities - see the SentiStrength Java manual (updated February 2017) and Mac users' starting instructions (also helps in Linux probably) and command list. Commercial users range from small start-ups to one of the world's top 10 largest corporations. Some use the default English version and others have translated it into different languages or adopted it to integrate with their existing language technology systems. SentiStrength is used by computing, language technology and market research companies in the US, Europe and Australia. The Java version of SentiStrength is normally used commercially. Buy SentiStrengthĪ commercial licence for SentiStrength is available for £1000 - please contact m.thelwall -at- wlv.ac.uk. Here is an tutorial on SentiStrength from Prof Laeeq Khan of Ohio University.
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Register for the free SentiStrength download - make sure to save the program AND the data files (this does not do the binary/trinary/scale classifications).This version does not contain the keyword or domain classification facilities.
Downloading SentiStrength and/or the configuration files signifies acceptance of these conditions. The free version runs under Windows only and is provided without liability or guarantees for any uses.
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Please contact the author for the commercial Java version or a commercial license for the online version. SentiStrength is free for academic research and is certified safe by Softpedia. Russian, Portuguese, French, Arabic, Polish, Persian, Swedish, Greek, Welsh, Italian, Turkish. Other languages: Finnish, German, Dutch Spanish. Quick Tests (English version): Enter text:Įnter keywords (comma-separated list, no spaces): Topic test: SentiStrength was originally developed for English and optimised for general short social web texts but can be configured for other languages and contexts by changing its input files - some variants are demonstrated below. SentiStrength can also report binary (positive/negative), trinary (positive/negative/neutral) and single scale (-4 to +4) results. Why does it use two scores? Because research from psychology has revealed that we process positive and negative sentiment in parallel - hence mixed emotions. 1 (not negative) to -5 (extremely negative)ġ (not positive) to 5 (extremely positive) SentiStrength reports two sentiment strengths: It has human-level accuracy for short social web texts in English, except political texts. SentiStrength estimates the strength of positive and negative sentiment in short texts, even for informal language. Test- Download - Java Version - Non-English - Buy! - About SentiStrengthĪutomatic sentiment analysis of up to 16,000 social web texts per second with up to human level accuracy for English - other languages available or easily added.
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