This paper introduces an approach for automatically classifying the sentiment of Twitter messages. These messages are classified as either positive or negative. This is useful for consumers who want to extract the sentiment of product before purchase, or companies that want to monitor the public sentiment of their brand. In this paper, a three stage hierarchical model is proposed for sentiment ...

Classically, semantic theories have assumed that words are endowed with universal, immutable meanings. This assumption is not tenable when modeling natural language dialogue; far from treating word meanings as fixed entities, linguistic agents are constantly coordinating useful semantic conventions. They disambiguate polysemous words, construct ad hoc interpretations particular to their communi...

This paper presents ideas for formally representing and working with prepositions as stand-alone constructs in connection with nouns and verbs, as prefixes, and as connecting constituents in compounds. As main starting points serve (a) Davis’ proto(typical) roles for linking subject and complements of verbs with semantic roles in HPSG, (b) Pustejovsky’s generative lexicon theory, and (c) Cyc’s ...

The presented work is one of the first linguosynergetically oriented stages research on coding semantic potential nouns in relation to category gender and initial letters their alphabetical order explanatory dictionaries German, namely with A; B, C, G, H, I Duden dictionary German. Deutsches Universalwörterbuch. statement that driving factor language development synergetic law making least effo...

this study was an attempt to investigate the effect of lexicon-based debates on the felicity of lexical equivalents in translating literary texts by iranian efl learners.  to fulfill the purpose of this study, 59 university students, majoring in english translation, were randomly assigned to the experimental and control groups from a total of 73 students based on their performance on a mock toe...

this research, relying on critical discourse analysis(cda), has proceed to analyze ten novels of modern iranian men and women writers.in the field of lexicon, using marked lexicon and metaphor, and in the section of syntax, using syntactic non – norm in the texts, it has compared active vs. passive sentences, long vs. short sentences, and direct vs. indirect speech with regard to gender of the ...

An approach to connectionist natural language processing is proposed, which is based on hierarchically organized modular Parallel Distributed Processing (PDP) networks and a central lexicon of distributed input/output representations. The modules communicate using these representations, which are global and publicly available in the system. The representations are developed automatically by all...

In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to partition the initial rule set into thematically coherent subsets. This enables the summarization of the rule set by adequately choosing a representative rule for each subset, and helps in the interactive exploration of t...

An approach to connectionist natural language processing is proposed, which is based on hierarchically organized modular Parallel Distributed Processing (PDP) networks and a central lexicon of distributed input/output representations. The modules communicate using these representations, which are global and publicly available in the system. The representations are developed automatically by all...