Mohamed Dekhil

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it

Whom Mohamed Dekhil trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Janyce Wiebe (in Artificial Intelligence)
2. Minqing Hu (in Artificial Intelligence)
3. Ellen Riloff (in Artificial Intelligence)

Papers from Mohamed Dekhil's perspective

Ordered by how strongly the researchers Mohamed Dekhil trusts endorse each paper. Same corpus, a different order for every researcher.

1. Mining and summarizing customer reviews
2. Determining the Sentiment of Opinions
3. Creating Subjective and Objective Sentence Classifiers from Unannotated Texts (Conference on Intelligent Text Processing and Computational Linguistics)
4. A holistic lexicon-based approach to opinion mining
5. Enhanced Sentiment Learning Using Twitter Hashtags and Smileys
6. Twitter as a Corpus for Sentiment Analysis and Opinion Mining (International Conference on Language Resources and Evaluation)
7. Cross-domain sentiment classification via spectral feature alignment
8. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
9. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
10. Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences (Conference on Empirical Methods in Natural Language Processing)

Their papers

• Combining lexicon-based and learning-based methods for twitter sentiment analysis (2011) — 505 citations