Results 221 to 230 of about 4,837 (247)

The ALPIN Sentiment Dictionary: Austrian Language Polarity in Newspapers

Proceedings of the Language Resources and Evaluation Conference, 2022
This paper introduces the Austrian German sentiment dictionary ALPIN to account for the lack of resources for dictionary-based sentiment analysis in this specific variety of German, which is characterized by lexical idiosyncrasies that also affect word sentiment.
Kolb, Thomas E., Sekanina, Katharina, Kern, Bettina Manuela Johanna, Neidhardt, Julia, Wissik, Tanja, Baumann, Andreas   +5 more
openaire   +3 more sources

Sentiment analysis of microblog text based on sentiment dictionary

E-Learning and Digital Media
This study introduces a method for sentiment analysis applied to microblog texts, leveraging a sentiment dictionary. Focused on discerning sentiments as positive, negative, or neutral, the research incorporates a sentiment dictionary tailored for microblog content.
Gnanapriya S, Anandan K
openaire   +1 more source

Text sentiment classification based on the automatic expansion of sentiment dictionary

Proceedings of the 5th International Conference on Communication and Information Processing, 2019
The sentiment dictionary-based text sentiment classification method is one of the main methods in the field of sentiment analysis, and the completeness of the sentiment dictionary is one of the key factors of the method. With the constant appearance of the new terms on Internet, the static sentiment dictionary cannot cover all the sentiment words.
Haijie Pang, Hua Zhao, Chenjing Gong
openaire   +1 more source

Sentiment Classification of Movie Reviews Using Korean Sentiment Dictionary

Advanced Science and Technology Letters, 2014
While there exists a large volume of research on sentiment classification of English customer reviews using English sentiment dictionaries, there are few researches on classifying sentiment of Korean customer reviews using Korean sentiment dictionaries.
Heeryon Cho, Sang-Hyun Choi
openaire   +1 more source

Text sentiment classification for SNS-based marketing using domain sentiment dictionary

2012 IEEE International Conference on Consumer Electronics (ICCE), 2012
In this paper, we propose a new method of classifying the sentiment behind tweets that contains formal and informal vocabulary. Previous methods used only formal vocabulary to classify the sentiments behind the sentences. However, these methods are ineffective in classifying texts since internet users make sentences using informal vocabulary.
Sang-Hyun Cho, Hang-Bong Kang
openaire   +2 more sources

Sentiment Dictionary Refinement Using Word Embeddings

2015
Previous works on Polish sentiment dictionaries revealed the superiority of machine learning on vectors created from word contexts (concordances or word co-occurrence distributions), especially compared to the SO-PMI method (semantic orientation of pointwise mutual information).
openaire   +1 more source

Large Sentiment Dictionary of Russian Words

2023
Vladimir V. Bochkarev, Andrey Achkeev, Andrey V. Savinkov, Anna V. Shevlyakova, Valery D. Solovyev   +4 more
openaire   +1 more source

ANTUSD: A Large Chinese Sentiment Dictionary

Proceedings of the Language Resources and Evaluation Conference, 2016
Shih-Ming Wang, Lun-Wei Ku
openaire   +2 more sources

Dictionary-based sentiment analysis with crowdcoding

2015
Negativity is an important dimension in the social sciences: e.g. in the study of news values, negative campaigning or political polarization. Our paper presents a supervised procedure for fine-grained negative sentiment analysis at the sentence level. We develop a dictionary of negative valued political vocabulary and establish the dictionary’s terms’
Haselmayer, Martin, Jenny, Marcelo
openaire   +1 more source

Sentiment analysis of microblog combining dictionary and rules

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), 2014
Ding Yuan, Yanquan Zhou, Ruifan Li, Peng Lu 0007   +3 more
openaire   +2 more sources