Results 231 to 240 of about 4,837 (247)

Polarity Consistency Checking for Sentiment Dictionaries.

2012
Polarity classification of words is important for applications such as Opinion Mining and Sentiment Analysis. A number of sentiment word/sense dictionaries ave been manually or (semi)automatically constructed. The dictionaries have substantial inaccuracies.
Dragut, Eduard, Wang, Hong, Yu, Clement, Sistla, Prasad, Meng, Weiyi   +4 more
openaire   +1 more source

Sentiment Analysis of Movie Reviews Based on Sentiment Dictionary and Deep Learning Models

Proceedings of the 2023 6th International Conference on Robot Systems and Applications, 2023
Caihong Liu, Changhui Liu
openaire   +1 more source

Data-driven integration of multiple sentiment dictionaries for lexicon-based sentiment classification of product reviews

Knowledge-Based Systems, 2014
Heeryon Cho, Jong-Seok Lee, Jongseo Lee
exaly  

Using relation selection to improve value propagation in a ConceptNet-based sentiment dictionary

Knowledge-Based Systems, 2014
Richard Tzong-Han Tsai, Chi-En Wu
exaly  

Building a Concept-Level Sentiment Dictionary Based on Commonsense Knowledge

IEEE Intelligent Systems, 2013
Richard Tzong-Han Tsai, Chi-En Wu
exaly  

Sentiment Analysis of Danmaku Videos Based on Naïve Bayes and Sentiment Dictionary

IEEE Access, 2020
Zhi Li
exaly  

Sentiment analysis on movie review through building modified sentiment dictionary by movie genre

Journal of Intelligence and Information Systems, 2016
Jong Woo Kim
exaly  

Sentiment Analysis with Turkish Adjective Dictionary

2018 Innovations in Intelligent Systems and Applications Conference (ASYU), 2018
Islam Mayda, Mehmet Korkmaz
openaire   +1 more source

Non-English Sentiment Dictionary Construction

Advanced Science Letters, 2018
Khalifa Chekima, Rayner Alfred
openaire   +1 more source

Induction of a sentiment dictionary for financial analyst communication: a data-driven approach balancing machine learning and human intuition

Journal of Business Analytics, 2022
exaly