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<DIV><FONT size=2><SPAN
style="DISPLAY: inline! important; FLOAT: none; WORD-SPACING: 0px; FONT: 13px/17px Arial, sans-serif; TEXT-TRANSFORM: none; COLOR: rgb(51,51,51); TEXT-INDENT: 0px; WHITE-SPACE: normal; LETTER-SPACING: normal; BACKGROUND-COLOR: rgb(255,255,255); orphans: auto; widows: auto; -webkit-text-stroke-width: 0px">Spanish
is a particularly challenging language for syntax analysis, for it is a
free-order constituency language. Full parsing in Spanish is very tough, as it
is not obvious where to find high level syntax functions as subject, direct
object, etc. Moreover, Spanish deals with a morphologically rich system in
pronouns, agreements, etc. which makes the task harder.</SPAN><BR
style="WORD-SPACING: 0px; FONT: 13px/17px Arial, sans-serif; TEXT-TRANSFORM: none; COLOR: rgb(51,51,51); TEXT-INDENT: 0px; WHITE-SPACE: normal; LETTER-SPACING: normal; BACKGROUND-COLOR: rgb(255,255,255); orphans: auto; widows: auto; -webkit-text-stroke-width: 0px"><BR
style="WORD-SPACING: 0px; FONT: 13px/17px Arial, sans-serif; TEXT-TRANSFORM: none; COLOR: rgb(51,51,51); TEXT-INDENT: 0px; WHITE-SPACE: normal; LETTER-SPACING: normal; BACKGROUND-COLOR: rgb(255,255,255); orphans: auto; widows: auto; -webkit-text-stroke-width: 0px"><SPAN
style="DISPLAY: inline! important; FLOAT: none; WORD-SPACING: 0px; FONT: 13px/17px Arial, sans-serif; TEXT-TRANSFORM: none; COLOR: rgb(51,51,51); TEXT-INDENT: 0px; WHITE-SPACE: normal; LETTER-SPACING: normal; BACKGROUND-COLOR: rgb(255,255,255); orphans: auto; widows: auto; -webkit-text-stroke-width: 0px">SentiLecto
<A href="http://tecnolecto.com/sentilecto">http://tecnolecto.com/sentilecto</A>
is our Spanish Sentiment Analysis solution at Tecnolecto.</SPAN><SPAN
style="DISPLAY: inline! important; FLOAT: none; WORD-SPACING: 0px; FONT: 13px/17px Arial, sans-serif; TEXT-TRANSFORM: none; COLOR: rgb(51,51,51); TEXT-INDENT: 0px; WHITE-SPACE: normal; LETTER-SPACING: normal; BACKGROUND-COLOR: rgb(255,255,255); orphans: auto; widows: auto; -webkit-text-stroke-width: 0px"><SPAN
class=Apple-converted-space> </SPAN>This Entity-based Sentiment Analysis
(ESA) solution yields a granular representation for the sentiment values
involved in each opinion. Unlike other approaches, this solution can deal with
polarity shifting in the same sentence ('I like chocolate but I hate strawberry
ice-cream') or even within embedded clauses ('Norwegians, who are an aggresive
People, export the exquisite herring'). SentiLecto better represents the
assumptions whereby the entities involved in the opinion are syntactically
mapped onto SVO (subject-verb-object) slots for their sentiment assignments:
'Mary hates John' (2 entities but only the object has a negative presentation)
vs. 'Mary defames John' (the same 2 entities but only the subject has negative
presentation).</SPAN><BR
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style="DISPLAY: inline! important; FLOAT: none; WORD-SPACING: 0px; FONT: 13px/17px Arial, sans-serif; TEXT-TRANSFORM: none; COLOR: rgb(51,51,51); TEXT-INDENT: 0px; WHITE-SPACE: normal; LETTER-SPACING: normal; BACKGROUND-COLOR: rgb(255,255,255); orphans: auto; widows: auto; -webkit-text-stroke-width: 0px">SentiLecto
leans on outstanding linguistic features such as: passive/active voice
transformation, anaphora resolution and co-reference chains, modality treatment
and accurate verb scripts for all verbs in Spanish, even with different
pronominal cases (for example, 'destacar' 'to appraise something' vs.
'destacarSE' 'to highlight oneself from the rest')</SPAN><BR
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style="DISPLAY: inline! important; FLOAT: none; WORD-SPACING: 0px; FONT: 13px/17px Arial, sans-serif; TEXT-TRANSFORM: none; COLOR: rgb(51,51,51); TEXT-INDENT: 0px; WHITE-SPACE: normal; LETTER-SPACING: normal; BACKGROUND-COLOR: rgb(255,255,255); orphans: auto; widows: auto; -webkit-text-stroke-width: 0px">Try
it out and behold the results!<SPAN
class=Apple-converted-space> </SPAN></SPAN><A
href="http://tecnolecto.com/sentilecto">http://tecnolecto.com/sentilecto</A><FONT
face=Arial color=#333333> </FONT><BR
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style="WORD-SPACING: 0px; FONT: 13px/17px Arial, sans-serif; TEXT-TRANSFORM: none; COLOR: rgb(51,51,51); TEXT-INDENT: 0px; WHITE-SPACE: normal; LETTER-SPACING: normal; BACKGROUND-COLOR: rgb(255,255,255); orphans: auto; widows: auto; -webkit-text-stroke-width: 0px"><SPAN
style="DISPLAY: inline! important; FLOAT: none; WORD-SPACING: 0px; FONT: 13px/17px Arial, sans-serif; TEXT-TRANSFORM: none; COLOR: rgb(51,51,51); TEXT-INDENT: 0px; WHITE-SPACE: normal; LETTER-SPACING: normal; BACKGROUND-COLOR: rgb(255,255,255); orphans: auto; widows: auto; -webkit-text-stroke-width: 0px">Fernando
Balbachan</SPAN><BR
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style="DISPLAY: inline! important; FLOAT: none; WORD-SPACING: 0px; FONT: 13px/17px Arial, sans-serif; TEXT-TRANSFORM: none; COLOR: rgb(51,51,51); TEXT-INDENT: 0px; WHITE-SPACE: normal; LETTER-SPACING: normal; BACKGROUND-COLOR: rgb(255,255,255); orphans: auto; widows: auto; -webkit-text-stroke-width: 0px">Senior
Computational Linguist</SPAN></FONT></DIV>
<DIV><FONT size=2><FONT face=Arial color=#333333>Tecnolecto
Group</FONT></FONT></DIV>
<DIV><FONT size=2><FONT face=Arial color=#333333><A
href="http://tecnolecto.com">http://tecnolecto.com</A> </FONT><BR
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style="WORD-SPACING: 0px; FONT: 13px/17px Arial, sans-serif; TEXT-TRANSFORM: none; COLOR: rgb(51,51,51); TEXT-INDENT: 0px; WHITE-SPACE: normal; LETTER-SPACING: normal; BACKGROUND-COLOR: rgb(255,255,255); orphans: auto; widows: auto; -webkit-text-stroke-width: 0px"><SPAN
style="DISPLAY: inline! important; FLOAT: none; WORD-SPACING: 0px; FONT: 13px/17px Arial, sans-serif; TEXT-TRANSFORM: none; COLOR: rgb(51,51,51); TEXT-INDENT: 0px; WHITE-SPACE: normal; LETTER-SPACING: normal; BACKGROUND-COLOR: rgb(255,255,255); orphans: auto; widows: auto; -webkit-text-stroke-width: 0px">Disclaimer:
So far, we have released the syntax analysis, including passive/active voice
transformation, clause extraction, and anaphora resolution but we are
working on modality and sentiment analysis. We will adapt this approach to
English in a near future.</SPAN></FONT></DIV>
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