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[PDF] Top 20 Fine-grained Opinion Topic and Polarity Identification

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Fine-grained Opinion Topic and Polarity Identification

Fine-grained Opinion Topic and Polarity Identification

... positive polarity by the sentiment word ...negative polarity even though it includes the word like which usu- ally occurs in positive ...positive polarity to- wards TOPIC, which has instances ... See full document

5

Review on Efficient Sentiment Analysis with Fine-grained Opinion Mining

Review on Efficient Sentiment Analysis with Fine-grained Opinion Mining

... Evert, Stefan, et al stated that TKE is a versatile tool for the identification of topics in medium to large sets of small text documents and the general sentiments expressed towards each topic. From a user ... See full document

5

Relational Features in Fine Grained Opinion Analysis

Relational Features in Fine Grained Opinion Analysis

... MPQA-style opinion expressions, as far as we are aware there has been no attempt to use them in an ...the opinion expressions as defined by the MPQA corpus may be used to derive machine learning features ... See full document

38

Extracting Condition Opinion Relations Toward Fine grained Opinion Mining

Extracting Condition Opinion Relations Toward Fine grained Opinion Mining

... corresponding opinion unit from online re- ...an opinion includes a CFO and, if any, isolating that opinion from the target of opinion ...finer-grained opinion mining can be ... See full document

10

The USAGE review corpus for fine grained multi lingual opinion analysis

The USAGE review corpus for fine grained multi lingual opinion analysis

... On the other hand, there are approaches that exploit machine learning techniques to induce a sentiment extraction model from training data, either in a fully supervised or weakly supervised fashion. Fully supervised ... See full document

8

An Iterative Reinforcement Approach for Fine Grained Opinion Mining

An Iterative Reinforcement Approach for Fine Grained Opinion Mining

... of opinion mining began in 1997, the early research results mainly focused on the polarity of opinion words (Hatzivassiloglou et ...text-level opinion mining as a classification of either ... See full document

8

Mining Fine-grained Opinion Expressions with Shallow Parsing

Mining Fine-grained Opinion Expressions with Shallow Parsing

... based system performs better than the baseline and discourse structure based system, because may be NEs are better feature for polarity extraction than surface senses of discourse connectives. The recall of the ... See full document

9

From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining

From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining

... an opinion from a set of possible entities; Opinion Target Expression is a sequence tagging problem where the goal is to find the word indicating this entity; and Sentiment Polarity recognition is a ... See full document

10

A Topic Model for Building Fine grained Domain specific Emotion Lexicon

A Topic Model for Building Fine grained Domain specific Emotion Lexicon

... Emotion lexicon plays an important role in opin- ion mining and sentiment analysis. In order to build such a lexicon, many researchers have in- vestigated various kinds of approaches. However, these methods could roughly ... See full document

6

Fine grained Opinion Mining with Recurrent Neural Networks and Word Embeddings

Fine grained Opinion Mining with Recurrent Neural Networks and Word Embeddings

... identify opinion holders (Choi et al., 2005), and intensity and polarity (Choi and Cardie, ...or opinion targets have been actively investigated in the ...as topic modeling techniques using ... See full document

11

Reranking Models in Fine grained Opinion Analysis

Reranking Models in Fine grained Opinion Analysis

... As the field moves towards increasingly sophis- ticated tasks requiring a detailed analysis of the text, the benefit of syntactic and semantic analy- sis becomes more clear. For the task of subjec- tive expression ... See full document

9

Overview of Topic based Chinese Message Polarity Classification in SIGHAN 2015

Overview of Topic based Chinese Message Polarity Classification in SIGHAN 2015

... The Kappa coefficient indicating agreement was 0.8832 for the positive/negative classification and was 0.7829 for fine-grained annotation, where the annotator should annotate the stronger senti- ment when ... See full document

5

Joint Inference for Fine grained Opinion Extraction

Joint Inference for Fine grained Opinion Extraction

... the opinion holder or tar- get is not explicitly expressed in ...entity identification as a sequence tagging prob- lem and relation extraction as binary classifica- ...of opinion entities can ... See full document

10

Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect Based Sentiment Analysis

Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect Based Sentiment Analysis

... identifying fine-grained opinion polarity towards a specific aspect as- sociated with a given ...overt opinion expressed on a given entity for many ... See full document

6

Topic Identification for Fine Grained Opinion Analysis

Topic Identification for Fine Grained Opinion Analysis

... general-purpose fine- grained subjectivity analysis, opinion topic identification has, to date, received little attention due to both the difficulty of the task and the lack of ... See full document

8

Influence of basin connectivity on sediment source, transport, and storage within the Mkabela Basin, South Africa

Influence of basin connectivity on sediment source, transport, and storage within the Mkabela Basin, South Africa

... A stepwise discriminate analysis was also carried out for sediment sources defined by land use. The selected param- eters were the same as those used to differentiate soil types (Ti, Cr, Ga, Nb, La, Ce, Lu, and Hf) ... See full document

21

The SMarT Classifier for Arabic Fine Grained Dialect Identification

The SMarT Classifier for Arabic Fine Grained Dialect Identification

... Language identification is the task of identifying the language of a given ...language identification is not a high challenging issue since this research has been supported for a long time and several ... See full document

5

Processing of solid wastes from mines, mineral processing and metallurgical plants-a conceptual case study of small size iron-steel industry, Ballari area , Karnataka, India

Processing of solid wastes from mines, mineral processing and metallurgical plants-a conceptual case study of small size iron-steel industry, Ballari area , Karnataka, India

... medium grained hematite with subordinate amounts of quartz. Fine grained feldspar, gibbsite and very fine grained magnetite were found in minor to trace ...was fine in ...at ... See full document

10

Towards Tracking Political Sentiment through Microblog Data

Towards Tracking Political Sentiment through Microblog Data

... People express and amplify political opin- ions in Microblogs such as Twitter, espe- cially when major political decisions are made. Twitter provides a useful vehicle for capturing and tracking popular opinion on ... See full document

6

Identification of Opinion Words and Polarity of Reviews in Tweets using Aspect Based Opinion Mining

Identification of Opinion Words and Polarity of Reviews in Tweets using Aspect Based Opinion Mining

... Opinion and sentimental analysis technique is an efficient means of determining public opinions. Usually to collect customer comments, online or paper based surveys are used. Now, people tend to comment on their ... See full document

8

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