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• Sentiment Analysis
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Data mining Free open-source data mining software and applications
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SenticNet API: A semantic and affective resource for
opinion mining and sentiment analysis.
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Natural language processing - Major tasks in NLP
Sentiment analysis: Extract subjective
information usually from a set of
documents, often using online reviews to
determine "polarity" about specific objects.
It is especially useful for identifying trends
of public opinion in the Social Media, for
the purpose of marketing.
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Text mining
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Typical text mining tasks include text
categorization, text clustering,
concept mining|concept/entity
extraction, production of granular
taxonomies, sentiment analysis,
document summarization, and entity
relation modeling (i.e., learning
relations between named entity
recognition|named entities).
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Text mining - Text analysis processes
* Sentiment analysis involves discerning
subjective (as opposed to factual) material
and extracting various forms of attitudinal
information: sentiment, opinion, mood, and
emotion. Text analytics techniques are helpful
in analyzing sentiment at the entity, concept,
or topic level and in distinguishing opinion
holder and opinion
object.http://www.clarabridge.com/default.asp
x?tabid=137ModuleID=635ArticleID=722
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Text mining - Commercial
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* Angoss – Angoss Text Analytics provides
entity and theme extraction, topic
categorization, sentiment analysis and
document summarization capabilities via the
embedded Lexalytics Salience Engine. The
software provides the unique capability of
merging the output of unstructured, textbased analysis with structured data to
provide additional predictive variables for
improved predictive models and association
analysis.
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Text mining - Commercial
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* NetOwl – suite of multilingual text and
entity analytics products, including entity
extraction, link and event extraction,
sentiment analysis, geotagging, name
translation, name matching, and identity
resolution, among others.
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Text mining - Commercial
* Sysomos - provider Social Media
analytics software platform, including text
analytics and sentiment analysis on online
consumer conversations.
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Sentiment analysis
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'Sentiment analysis' (also known as
'opinion mining') refers to the use of
natural language processing, Text
analytics|text analysis and
computational linguistics to identify
and extract subjective information in
source materials.
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Sentiment analysis
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Generally speaking, sentiment analysis aims
to determine the attitude of a speaker or a
writer with respect to some topic or the
overall contextual polarity of a document. The
attitude may be his or her judgment or
evaluation (see appraisal theory), affective
state (that is to say, the emotional state of the
author when writing), or the intended
emotional communication (that is to say, the
emotional effect the author wishes to have on
the reader).
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Sentiment analysis - Subtasks
A basic task in sentiment analysis is
classifying the polarity of a given text at
the document, sentence, or feature/aspect
level — whether the expressed opinion in
a document, a sentence or an entity
feature/aspect is positive, negative, or
neutral. Advanced, beyond polarity
sentiment classification looks, for instance,
at emotional states such as angry, sad,
and happy.
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Sentiment analysis - Subtasks
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The more fine-grained analysis model is called the
feature/aspect-based sentiment analysis.
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Sentiment analysis - Subtasks
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More detailed discussions about this
level of sentiment analysis can be
found in Liu's NLP Handbook chapter,
Sentiment Analysis and Subjectivity.
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Sentiment analysis - Methods and features
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Computers can perform automated
sentiment analysis of digital texts,
using elements from machine
learning such as latent semantic
analysis, support vector machines,
bag of words and Semantic
Orientation mdash; Pointwise Mutual
Information (See Peter Turney's
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Sentiment analysis - Methods and features
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Sentiment Analysis can be split in to two
separate categories; manual or human
sentiment analysis and automated
sentiment analysis. The most notable
differences lie in the efficiency of the
system and the accuracy of the analysis.
Many companies will utilize a combination
of both methods.
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Sentiment analysis - Methods and features
Open source software tools deploy
machine learning, statistics, and natural
language processing techniques to
automate sentiment analysis on large
collections of texts, including web pages,
online news, internet discussion groups,
online reviews, web blogs, and Social
Media.
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Sentiment analysis - Methods and features
A human analysis component is
required in sentiment analysis, as
automated systems are not able to
analyze historical tendencies of the
individual commenter, or the platform
and are often classified incorrectly in
their expressed sentiment. Automation
impacts approximately 23% of
comments that are correctly classified
by humans.
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Sentiment analysis - Methods and features
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To address this issue a number of rulebased and reasoning-based approaches
have been applied to sentiment analysis,
including Defeasible Logic Programming
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Sentiment analysis - Evaluation
The accuracy of a sentiment analysis
system is, in principle, how well it agrees
with human judgments. This is usually
measured by precision and recall.
However, according to research human
raters typically agree 79%
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Sentiment analysis - Evaluation
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For sentiment analysis tasks returning a
scale rather than a binary judgement,
correlation is a better measure than
precision because it takes into account
how close the predicted value is to the
target value.
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Sentiment analysis - Sentiment analysis and Web 2.0
As businesses look to automate the
process of filtering out the noise,
understanding the conversations,
identifying the relevant content and
actioning it appropriately, many are now
looking to the field of sentiment
analysis.Wright, Alex
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Sentiment analysis - Sentiment analysis and Web 2.0
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Several research teams in universities
around the world currently focus on
understanding the dynamics of sentiment
in Virtual community|e-communities
through sentiment analysis.CORDIS
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Sentiment analysis - Sentiment analysis and Web 2.0
The problem is that most sentiment
analysis algorithms use simple terms to
express sentiment about a product or
service
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
CyberEmotions
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It has led to the creation of several
sentiment analysis computer
programs, such as
SentiStrength.Thelwall, M., Buckley,
K., Paltoglou, G
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
CyberEmotions - Research Results
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[http://tist.acm.org/papers/TIST-2010-110317.html Twitter, MySpace, Digg:
Unsupervised sentiment analysis in Social
Media], ACM Transactions on Intelligent
Systems and Technology
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Emotion classification - Plutchik's model
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for tasks such as affective human-computer
interaction or sentiment analysis.
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Emotion Markup Language - Reasons for defining an emotion markup language
*Opinion mining / sentiment analysis in
Web 2.0, to automatically track customer's
attitude regarding a product across blogs;
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Technical analysis - Combination with other market forecast methods
John Murphy (technical analyst)|John
Murphy states that the principal sources of
information available to technicians are
price, volume and open interest. Other
data, such as indicators and sentiment
analysis, are considered secondary.
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Attensity
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'Attensity' provides social analytics and
engagement applications for social
customer relationship management
(social CRM). Attensity's text analytics
software applications extract facts,
relationships and sentiment
analysis|sentiment from unstructured
data, which comprise approximately
85% of the information companies
store electronically.
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Bullish
In the last decade, investors are also
known to measure market sentiment
through the use of news analytics, which
include sentiment analysis on textual
stories about companies and sectors.
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Telligent Community - History
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It was one of the first analytics suites
for enterprise collaboration software,
and provides social analytics
including sentiment analysis, Social
Fingerprints, and buzz analysis on
social networking sites such as
Twitter.http://www.cmswire.com/cm
s/enterprise-20/telligent-updatesand-rebrands-community-solutionsnew-analytics-solution-004889.php
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Topsy (analytics) - Twitter Oscars Index
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[http://oscars.topsy.com This index] was
also co-developed by Twitter and Topsy. It
debuted in January 2013 and originally
compared social sentiment for films
nominated for Academy awards in six
categories: Best Picture, Best Actor. Best
Actress, Best Supporting Actor, Best
Supporting Actress and Best Director.
Topsy sentiment analysis used in this
index correctly predicted five out of the six
award recipients.
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Clarabridge
Clarabridge offers its Clarabridge
Enterprise and Clarabridge Professional
products as SaaS and on premise
software solutions that utilize sentiment
analysis|sentiment and text analytics to
automatically collect, categorize and report
on Structured data|structured and
unstructured data
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
NetOwl
NetOwl utilizes computational
linguistics, natural language processing,
and machine learning approaches to
extract entities, links, and events, to
perform sentiment analysis, to assign
latitude/longitude to geographical
references in text, to translate names
written in foreign languages, and to
perform name matching and identity
resolution.[http://apps.washingtonpost.
com/local/top-dccompanies/2011/company/srainternational/596/ SRA International.]
Washington Post
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
NetOwl - History
Since then, Extractor has added
several new capabilities, including link
and event extraction, geotagging, and
sentiment analysis, as well as entity
extraction in other languages and name
translation
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Sentiment
*Sentiment analysis, automatic
detection of opinions embodied in
text
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Amit Sheth - Semantics and social data
In the early 2009 he initiated and
framed the issue of social media
analysis in a broad set of semantic
dimensions he called SpatioTemporal-Thematic (STT). He
emphasised the analysis of social data
from the perspective of people,
content, sentiment analysis and
emotions. This idea lead to a system
called Twitris, which employs
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https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Text categorization - Applications
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* sentiment analysis, determining the
attitude of a speaker or a writer with
respect to some topic or the overall
contextual polarity of a document.
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Multidimensional scaling (in marketing) - Applications
Furthermore, MDS has been used extensively in
geostatistics, for modeling the spatial variability of the
patterns of an image (by representing them as points
in a lower-dimensional space),Honarkhah, M and
Caers, J, 2010, [http://dx.doi.org/10.1007/s11004-0109276-7 Stochastic Simulation of Patterns Using
Distance-Based Pattern Modeling], Mathematical
Geosciences, 42: 487–517 and natural language
processing, for modeling the semantic and affective
relatedness of natural language concepts (by
representing them as points in a 100-dimensional
vector space).Cambria, E, Song, Y, Wang, H and
Howard, N, 2013,
'[http://dx.doi.org/10.1109/MIS.2012.118 Semantic
multi-dimensional scaling for open-domain sentiment
analysis], IEEE
Intelligent Systems
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
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Word embedding
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Word and phrase embeddings, when
used as the underlying input
representation, have been shown to
boost the performance in NLP tasks
such as syntactic parsing and
sentiment analysis.
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Zumbl - Awards
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Zumbl won Samsung Innovation Awards
2012 on August 9 and was awarded
150,000 Indian rupee|INR for the use of
Sentiment analysis|sentiment mining
technology to find out the users' intent and
depict them graphically through the users'
avatars.
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Idio - Platform
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* Content Analytics (including semantic
extraction, sentiment analysis, language
detection and readability)
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Brandwatch
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The tool's coverage includes blogs, news
sites, internet forum|forums and social
networks such as Twitter and Facebook.
Users can then search that data for terms
that they are researching, before using
charting, categorisation, sentiment
analysis and other analytic features to
provide further insight.
https://store.theartofservice.com/the-sentiment-analysis-toolkit.html
Indraprastha Institute of Information Technology - Research
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Data management for emerging mobileP2P applications, data mining and
analytics, sentiment analysis, multidimensional and large-scale data indexing,
data privacy and access, cloud computing,
knowledge management in software
engineering, business intelligence
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The Art of Service
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