Анализ мнений

AbstractThis paper presents OMINE, an opinion mining system which aims to identify concepts such as products and their attributes, and analyze their corresponding polarities. Our work pioneers at linking extracted …...

We determine the subjectivity of word senses. To avoid costly annotation, we evaluate how useful existing resources es- tablished in opinion mining are for this task. We show that results …...

This paper studies sentiment analysis from the user-generated content on the Web. In particular, it focuses on mining opinions from comparative sentences, i.e., to determine which entities in a compari- …...

The development of the Web 2.0 led to the birth of new textual genres such as blogs, reviews or forum entries. The increasing number of such texts and the highly …...

Polarity lexicons have been a valuable re- source for sentiment analysis and opinion mining. There are a number of such lexi- cal resources available, but it is often sub- optimal …...

With the in-depth study of sentiment analysis research, finer-grained opinion mining, which aims to detect opinions on different review fea- tures as opposed to the whole review level, has been …...

In this paper, we present a novel approach for mining opinions from product reviews, where it converts opinion mining task to identify product features, expressions of opinions and relations between …...

AbstractMany techniques are developed to derive automatically lexical resources for opinion mining. In this paper we present a gold standard for Dutch adjectives developed for the evaluation of these techniques. …...

AbstractAfter presenting opinion and sentiment analysis state of the art and the DOXA project, we review the few evaluation campaigns that have dealt in the past with opinion mining. Then …...

. Recent considerations in opinion mining, oriented by real applicative tasks, require creating lexical and semantic resources quantitatively and qualitatively rich. In this context, we present a method to automatically …...

In this paper, we focus on the opinion tar- get extraction as part of the opinion min- ing task. We model the problem as an in- formation extraction task, which …...

AbstractWith the growing interest in opinion mining from web data, more works are focused on mining in English and Chinese reviews. Probing into the problem of product opinion mining, this …...

In opinion mining of product reviews, one of- ten wants to produce a summary of opinions based on product features/attributes. Howev- er, for the same feature, people can express it …...

AbstractIn recent years, blogs and social networks have particularly boosted interests for opinion mining research. In order to satisfy real-scale applicative needs, a main task is to create or to …...

AbstractOpinion Mining is a discipline that has attracted some attention lately. Most of the research in this field has been done for English or Asian languages, due to the lack …...

AbstractSubjectivity analysis and authorship attribution are very popular areas of research. However, work in these two areas has been done separately. We believe that by combining information about subjectivity in …...

AbstractThis paper presents Q-WordNet, a lexical resource consisting of WordNet senses automatically annotated by positive and negative polarity. Polarity classification amounts to decide whether a text (sense, sentence, etc.) may …...

AbstractIn this work we present SENTIWORDNET 3.0, a lexical resource explicitly devised for supporting sentiment classification and opinion mining applications. SENTIWORDNET 3.0 is an improved version of SENTIWORDNET 1.0, a …...

AbstractWe present the Database of Catalan Adjectives (DCA), a database with 2,296 adjective lemmata enriched with morphological, syntactic and semantic information. This set of adjectives has been collected from a …...

AbstractThis paper presents an approach to construction of an annotated corpus for German political news for the opinion mining task. The annotated corpus has been applied to learn relation extraction …...

AbstractSentiment Analysis (SA) and Opinion Mining (OM) have become a popular task in recent years in NLP with the development of language resources, corpora and annotation schemes. The possibility to …...

Together with the ever-growing amount of Chinese web data, the number of opinions voiced by Chinese users is rapidly increasing, and analyzing them is an important task. This paper intro- …...

Subjectivity analysis has been actively used in various applications such as opinion mining of customer reviews in online review sites, question-answering in CQA sites, multi-document summarization, etc. However, there has …...

Determining the stance expressed by an author from a post written for a two-sided debate in an online debate forum is a relatively new problem in opinion min- ing. We …...

A basic task in opinion mining deals with determining the overall polarity orienta- tion of a document about some topic. This has several applications such as detecting consumer opinions in …...

Our study focuses on opinion mining of several medi- cal forums dedicated to Hearing Loss (HL). Surgeries related to HL are the most common surgeries in North America; thus, they …...

A very valuable piece of information in news- paper articles is the tonality of extracted state- ments. For the analysis of tonality of newspa- per articles either a big human …...

Mining opinion targets is a fundamen- tal and important task for opinion min- ing from online reviews. To this end, there are usually two kinds of methods: syntax based and …...

The popularity of the user generated content, such as Twitter, has made it a rich source for the sentiment analysis and opinion min- ing tasks. This paper presents our study …...

Non-literal expression recognition is a challenging task in natural language processing. An ironic expression implies the opposite of the literal meaning, causing problems in opinion mining and sentiment analysis. In …...

We address the problem of discovering topical phrases or “aspects” from microblogging sites like Twitter, that correspond to key talking points or buzz around a particular topic or entity of …...

The fast upswing of online reviews and their sentiments on the Web became very useful information to the people. Thus, the opin- ion/sentiment mining has been adopted as a subject …...

This paper defines a systematic approach to Opinion Mining (OM) on YouTube comments by (i) modeling classifiers for predicting the opinion polarity and the type of comment and (ii) proposing …...

AbstractIn recent years we have observed two parallel trends in computational linguistics research and e-commerce development. On the research side, there has been an increasing interest in algorithms and approaches …...

A fundamental issue in opinion mining is to search a corpus for opinion units, each of which typically comprises the evalua- tion by an author for a target object from …...

The present research exploits the large amount of linguistic resources developed into the Lexicon-grammar paradigm in the domain of the Opinion Mining. Grounded on the Semantic Predicates theory, the proposed …...

State of the art in opinion mining mainly focuses on positive and negative senti- ment summarisation of online customer reviews. We observe that reviewers tend to provide advice, recommendations and …...

AbstractClassifying the stance expressed in online microblogging social media is an emerging problem in opinion mining. We propose a probabilistic approach to stance classification in tweets, which models stance, target …...

AbstractOpinion Mining is a topic which attracted a lot of interest in the last years. By observing the literature, it is often hard to replicate system evaluation due to the …...

It is well-known that opinions have targets. Extracting such targets is an important prob- lem of opinion mining because without know- ing the target of an opinion, the opinion is …...

AbstractAspect extraction identifies relevant features from a textual description of an entity, e.g., a phone, and is typically targeted to product descriptions, reviews, and other short texts as an enabling …...

AbstractSentiment analysis (SA) using code-mixed data from social media has several applications in opinion mining ranging from customer satisfaction to social campaign analysis in multilingual societies. Advances in this area …...

AbstractSentiment shifters, i.e., words and expressions that can affect text polarity, play an important role in opinion mining. However, the limited ability of current automated opinion mining systems to handle …...

AbstractSentiment lexicon is an important tool for identifying the sentiment polarity of words and texts. How to automatically construct sentiment lexicons has become a research topic in the field of …...

Transcripts of UK parliamentary debates provide access to the opinions of politicians towards many important topics, but due to the large quantity of textual data and the specialised language used, …...

Aspect Based Sentiment Analysis (ABSA) aims at collecting detailed opinion information according to products and their features, via the recognition of targets of the opinions in text. Though some annotated …...

This paper presents the Norwegian Review Corpus (NoReC), created for training and evaluating models for document-level sentiment analysis. The full-text reviews have been collected from major Norwegian news sources and …...

Natural language processing systems have the ability to analyse not only the sentiment of human language, but also the stance of the speaker. Representing this information visually from unevenly distributed …...

AbstractEmojis are widely used on social media andunderstanding their meaning is important forboth practical purposes (e.g. opinion mining,sentiment detection) and theoretical purposes(e.g. how different L1 speakers use them, dothey have …...

AbstractIn this paper we propose a deep learning framework for sarcasm target detection in predefined sarcastic texts. Identification of sarcasm targets can help in many core natural language processing tasks …...

AbstractThis paper presents Semantic Neural Networks (SNNs), a knowledge-aware component based on deep learning. SNNs can be trained to encode explicit semantic knowledge from an arbitrary knowledge base, and can …...

AbstractConsumer opinions towards commercial entities are generally expressed through online reviews, blogs, and discussion forums. These opinions largely express positive and negative sentiments towards a given entity,but also tend to …...

AbstractClassifying and resolving coreferences of objects (e.g., product names) and attributes (e.g., product aspects) in opinionated reviews is crucial for improving the opinion mining performance. However, the task is challenging …...

AbstractArabizi is a written form of spoken Arabic, relying on Latin characters and digits. It is informal and does not follow any conventional rules, raising many NLP challenges. In particular, …...

AbstractEmotion recognition in dialogue systems has gained attention in the field of natural language processing recent years, because it can be applied in opinion mining from public conversational data on …...

AbstractIn recent years emotion detection in text has become more popular due to its potential applications in fields such as psychology, marketing, political science, and artificial intelligence, among others. While …...

AbstractPolarity classification (positive, negative or neutral opinion detection) is well developed in the field of opinion mining. However, existing tools, which perform with high accuracy on short sentences and explicit …...

AbstractRST-based discourse parsing is an important NLP task with numerous downstream applications, such as summarization, machine translation and opinion mining. In this paper, we demonstrate a simple, yet highly accurate …...

AbstractThis work investigates the use of interactively updated label suggestions to improve upon the efficiency of gathering annotations on the task of opinion mining in German Covid-19 social media data. …...

AbstractThe Appraisal framework in linguistics defines the framework for fine-grained evaluations and opinions and has contributed to sentiment analysis and opinion mining. As developing appraisal-annotated resources requires tagging of several …...