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SentiWords | HLT

SentiWords | HLT | EuroSentiment | Scoop.it
cif's insight:

SentiWords is a high coverage resource containing roughly 155.000 words associated with a sentiment score included between -1 and 1. Words in this resource are in the form lemma#PoS and are aligned with WordNet lists (that include adjectives, nouns, verbs and adverbs). Scores are learned from SentiWordNet and represent state-of-the-art computation of words' prior polarities (i.e. polarity for non-disambiguated words) using SWN.  SentiWordswas built using the method described in Guerini et al. (2013) and the dataset presented in Warriner et al. (2013).

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Spanish polarity lexicon released

cif's insight:

The lexicon was created from different sources, and includes negative and positive words. You can find a detailed description of the content, as well as the way the lexicon was built in the following publication:

       - Saralegi X., San Vicente I.. 2013. "Elhuyar at TASS 2013". In proceedings of "XXIX Congreso de la Sociedad Española de Procesamiento de lenguaje natural". Workshop on Sentiment Analysis at SEPLN (TASS2013). Madrid. pp. 143-150. ISBN: 978-84-695-8349-4

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Sanders Analytics - Twitter Sentiment Corpus

Sanders Analytics - Twitter Sentiment Corpus | EuroSentiment | Scoop.it
cif's insight:

Twitter Sentiment Analysis Corpus and simple Python Sentiment Analyzer

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EffectCheck - Measure and Analyze the Emotional Impact of Your Writing

EffectCheck - Measure and Analyze the Emotional Impact of Your Writing | EuroSentiment | Scoop.it
Discover how your writing makes people feel. Analyze the emotional impact of text and optimize your word choice to evoke a desired emotional respose.
cif's insight:

he emotions you evoke can have powerful effects on your audience. The wrong word choice can turn your audience against you, without your intent or awareness. The right word choice can increase sales, drive traffic, or start a movement.

Our platform is the first and only patented platform that measures the likely emotional response of your audience. Built on four decades of psychological research and an expert-curated dictionary of over one million phrase relationships, EffectCheck goes beyond simple "positive" and "negative" analysis, enabling you to gauge six fundamental emotions. Whether your goal is to inspire, motivate, or in some other way impact your audience, EffectCheck can help you deliver the perfect message. Read more...

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Chatterbox - Sentiment Analysis for Social Media API

Chatterbox - Sentiment Analysis for Social Media API | EuroSentiment | Scoop.it
Chatterbox uses machine learning to unlock consumer to consumer insights.
cif's insight:

Chatterbox's multi-lingual sentiment analysis for social media is clever, fast, flexible & scalable.

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Sentiment Analysis Symposium -- for business exploitation of opinions, attitudes & emotions, online and on-social

Sentiment Analysis Symposium -- for business exploitation of opinions, attitudes & emotions, online and on-social | EuroSentiment | Scoop.it
The Sentiment Analysis Symposium, May 8, 2013 in New York, bridges business and technology in one of the most important emerging applications of analytics: Mining and exploiting attitudes, opinions, emotions, and intent in online, social, and...
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Make Your Content Work Harder, Not Smarter - EContent (press release)

Make Your Content Work Harder, Not Smarter - EContent (press release) | EuroSentiment | Scoop.it
Make Your Content Work Harder, Not Smarter
EContent (press release)
But the landscape is changing all the time.
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Viralheat Social Sentiment Analysis Chrome Plugin Now Supports Facebook!

 

Viralheat Social Sentiment plugin in the Chrome Store, giving any user the power to analyze the sentiment of tweets, Twitter streams and now: Facebook's News Feeds, Timelines, fan pages, posts and comments...

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Tweet Annotator

cif's insight:

Below are the three twitter datasets that I used in my twitter sentiment work. [4,5,6]

Stanford Twitter Sentiment Corpus (STS)

Health Care Reform (HCR)

Obama-McCain Debate (OMD)

4] Saif, H., He, Y. and Alani, H. (2012) Semantic Sentiment Analysis of Twitter, International Semantic Web Conference, Boston, US 
[5] Saif, H., He, Y. and Alani, H. (2012) Alleviating Data Sparsity for Twitter Sentiment Analysis, Workshop: The 2nd Workshop on Making Sense of Microposts (#MSM2012): Big things come in small packages at World Wide Web (WWW) 2012, Lyon, France 
[6] Saif, H., He, Y. and Alani, H. (2011) Semantic Smoothing for Twitter Sentiment Analysis, Poster at The 10th International Semantic Web Conference (ISWC), Bonn, Germany

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Shengjing Sun's curator insight, January 15, 2016 10:29 AM

sentiment analysis dataset 

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SenticNet

SenticNet | EuroSentiment | Scoop.it
cif's insight:

SenticNet is a publicly available semantic and affective resource for concept-level opinion mining and sentiment analysis. SenticNet is built by means of sentic computing, a paradigm that exploits both AI and Semantic Web techniques to better recognize, interpret, and process natural language opinions over the Web.

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Sentiment Analysis of Suicide Notes: A Shared Task

Sentiment Analysis of Suicide Notes: A Shared Task | EuroSentiment | Scoop.it
cif's insight:

This paper reports on a shared task involving the assignment of emotions to suicide notes. Two features distinguished this task from previous shared tasks in the biomedical domain. One is that it resulted in the corpus of fully anonymized clinical text and annotated suicide notes.

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MPQA Resources

MPQA Resources | EuroSentiment | Scoop.it
Provides access to the MPQA resources, including annotated corpus, subjectivity lexicon, subjectivity sense annotations, political debate data, product debate data, and OpinionFinder
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Multi-Domain Sentiment Dataset

cif's insight:

The Multi-Domain Sentiment Dataset contains product reviews taken from Amazon.com from many product types (domains). Some domains (books and dvds) have hundreds of thousands of reviews. Others (musical instruments) have only a few hundred. Reviews contain star ratings (1 to 5 stars) that can be converted into binary labels if needed. This page contains some descriptions about the data.

Each directory corresponds to a single domain. Each directory contains several files, which we briefly describe:
all.review -- All reviews for this domain, in their original format
positive.review -- Positive reviews
negative.review -- Negative reviews
unlabeled.review -- Unlabeled reviews
processed.review -- Preprocessed reviews (see below)
processed.review.balanced -- Preprocessed reviews, equally balanced between positive and negative.

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Yelp Dataset Challenge

Yelp is a fun and easy way to find, recommend and talk about what's great and not so great in San Francisco and beyond.
cif's insight:

If you are a student and come up with an appealing project, you’ll have the opportunity to win one of ten Yelp Dataset Challenge awards for $5,000. Yes, that’s $5,000 for showing us how you use our data in insightful, unique, and compelling ways.

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Hedonometer • About

Hedonometer • About | EuroSentiment | Scoop.it
Hedonometer.org is an instrument that measures the happiness of large populations in real time.
cif's insight:

It’s what most people say they want. So how do we know how happy people are? You can’t improve or understand what you can’t measure. In a blow to happiness, we’re very good at measuring economic indices and this means we tend to focus on them. With hedonometer.org we’ve created an instrument that measures the happiness of large populations in real time.

Our hedonometer is based on people’s online expressions, capitalizing on data-rich social media, and we’re measuring how people present themselves to the outside world. For our first version of hedonometer.org, we’re using Twitter as a source but in principle we can expand to any data source in any language (more below). We’ll also be adding an API soon.

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Onyx Ontology Specification

Onyx Ontology Specification | EuroSentiment | Scoop.it
cif's insight:

EuroSentiment publishes the first version of Onyx, an ontology for emotion annotation

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sentiment-analyzer

sentiment-analyzer | EuroSentiment | Scoop.it
sentiment-analyzer - Tweets Sentiment Analyzer
cif's insight:

The goal of this project is to perform sentiment analysis on textual data that people generally post on websites like social networks and movie review sites. At the moment, this project does a sentiment analysis on tweets (from twitter.com). It has two modes of operation

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cif's curator insight, May 7, 2013 6:28 PM

The goal of this project is to perform sentiment analysis on textual data that people generally post on websites like social networks and movie review sites. At the moment, this project does a sentiment analysis on tweets (from twitter.com). It has two modes of operation

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Investigation in Emotion Classification

Investigation in Emotion Classification | EuroSentiment | Scoop.it
cif's insight:

This is the early stage research of the project. In late January, 2012, I emailed around Royal College of Art asking for words describing emotions in languages other than English that are untranslatable into English

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Decision Support Systems | Vol 53, Iss 4, Pgs 675-892, (November, 2012) | ScienceDirect.com

Decision Support Systems | Vol 53, Iss 4, Pgs 675-892, (November, 2012) | ScienceDirect.com | EuroSentiment | Scoop.it

Computational Approaches to Subjectivity and Sentiment Analysis

cif's insight:

Special Issue Computational Approaches to Subjectivity and Sentiment Analysis

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Tweet Annotator

cif's insight:

The current purpose of Tweentor is to provide users with an easy way to annotate tweets message with their sentiment labels (e.g. Positive, Negative and Neutral) 
Our goal is to manually annotate 2000 tweets with their corresponding sentiment labels If you would like to participate in the annotation process, please consider that: 
"Some tweets contain emotion icons such as :), :( and :|. Although this may give you an idea of the tweet's polarity, you still need to read the whole tweet before you decide because some emotions could be placed randomly in some tweets"

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SentiTUT: the sentiment Turin University Treebank (TUT)

SentiTUT: the sentiment Turin University Treebank (TUT) | EuroSentiment | Scoop.it
cif's insight:

SentiTUT is a project for the development of a novel Italian corpus for sentiment analysis, which includes sentiment annotations concerning irony and consists in a collection of texts from Twitter. This resource includes annotations concerning both sentiment and morpho-syntax, in order to make available several possibilities of further exploitation related to sentiment analysis. For what concerns the annotation at sentiment level, we focus on irony and we selected therefore texts on politics from a social media, namely Twitter, where irony is usually applied by humans. Our aim is to add a new sentiment dimension, which explicitly accounts for irony, to a sentiment analysis classification framework based on polarity annotation.

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Viralheat | Developer Center

Viralheat | Developer Center | EuroSentiment | Scoop.it
Viralheat is a social media analytics and intelligence platform that delivers real-time data on over several different video, microblogging platforms and millions of websites.
cif's insight:

Welcome to the Viralheat Developer Center. Here you will find developer documentation on using Viralheat data, analytics, and services in your applications. To use Viralheat services, you will need a developer account.

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