[PDF] Top 20 Sarcasm Detection on Twitter using Feature-Based Approach
Has 10000 "Sarcasm Detection on Twitter using Feature-Based Approach" found on our website. Below are the top 20 most common "Sarcasm Detection on Twitter using Feature-Based Approach".
Sarcasm Detection on Twitter using Feature-Based Approach
... situation using positive expressions or vice versa. Person uses sarcasm as wit by exaggerating, using special forms of speeches and tones unlike those when he usually ...reply sarcasm is used ... See full document
10
Multi Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model
... of sarcasm detection focused on ...like Twitter allow users to cre- ate multi-modal messages, including texts, im- ages, and ...messages based only on texts. In this paper, we focus on multi- ... See full document
10
Putting Sarcasm Detection into Context: The Effects of Class Imbalance and Manual Labelling on Supervised Machine Classification of Twitter Conversations
... meaning. Sarcasm detection can therefore help improve natural language processing (NLP) ...modeled sarcasm detec- tion as classification, with two important limitations: ...when sarcasm is ... See full document
7
Sarcasm Detection on Czech and English Twitter
... learning approach to sarcasm detection on Twitter in two lan- guages – English and ...in sarcasm detection in languages other than English ...at sarcasm detection ... See full document
11
A hybrid approach for Sarcasm Detection of Social Media Data
... Sarcasm detection on twitter tweets is more complicated as it provides very less detailed results, and developing a dictionary for these kind of text documents takes more time and ...Since ... See full document
10
Your Sentiment Precedes You: Using an author’s historical tweets to predict sarcasm
... detect sarcasm in text written by the ...of twitter for sarcasm detection of ...the twitter timeline of the author of the target tweet (we refer to these tweets as the ‘historical ... See full document
6
SARCASM DETECTION AND SURVEYING USER AFFECTATION
... Twitter is a social media platform where users post their views of everyday life. Many organizations and companies have been interested in these data for the purpose of studying the opinion of people regards the ... See full document
7
A Survey on Lfun Approach Using Statistical Features-Based Real-Time Twitter Spam Detection
... as Twitter itself, has proposed some spam detection schemes to make Twitter as a spam-free ...instance, Twitter has applied some “Twitter rules” to suspend accounts if they behave ...by ... See full document
7
Are Word Embedding based Features Useful for Sarcasm Detection?
... to sarcasm. Hence, our set of fea- tures based on word embeddings aim to capture such se- mantic ...existing feature sets rely on sentiment-based features to capture context incongruity, it is ... See full document
6
Tweet Sarcasm Detection Using Deep Neural Network
... Tweet sarcasm detection can be modeled as a binary document classification task. Two main sources of features have been used. First, most previous work extracts rich discrete features according to the tweet ... See full document
12
Identifying Sarcasm in Twitter: A Closer Look
... Lexical Factors. We used two kinds of lexical fea- tures – unigrams and dictionary-based. The dictio- nary-based features were derived from i) Pennebaker et al.’s LIWC (2007) dictionary, which consists of a ... See full document
6
A Survey paper on face detection and recognization with Genetic Algorithm
... video using adaptive Hidden Markov Models to perform video-based face recognition ...a feature space, are used as the measure of similarity between two video ...tracking-and-recognition ... See full document
8
Detection of Hard Exudates Based on Morphological Feature Extraction
... morphology based approaches an important factor which plays a vital role in the processing of images is the tuning structural parameter that is ...form using thresholding for α1 to α2 range of values are ... See full document
11
Machine Learning and Feature Selection Approach for Anomaly based Intrusion Detection: A Systematic Novice Approach
... anomaly based NIDS published in the period of 2003-2017. Numerous anomaly-based NIDSs have been developed utilizing various machine learning techniques in the ...employed feature selection ... See full document
10
Semi Supervised Recognition of Sarcasm in Twitter and Amazon
... from Twitter, and 66000 Amazon product ...the Twitter dataset are ...of Twitter #sarcasm hashtags for the ...baseline based on se- mantic gap and user ... See full document
10
Leveraging Cognitive Features for Sentiment Analysis
... classification using various classifiers and different feature combina- ...augmented feature-set, we observe a significant improvement of accuracy across all classifiers for two different ...and ... See full document
11
Sarcasm Detection in Chinese Using a Crowdsourced Corpus
... is based on Python library scikit-learn (Pedregosa et ...effective feature for sarcasm detection, thus we choose to use bigram, trigram and tetragram of sarcastic comments as the ... See full document
12
Real-time face recognition system using radial basis function neural networks
... Low Level Analysis ,..-- Feature-Based r-- Feature Analysis Approach .._ Active Shape Model Face Detection 1-- Linear Subspace r- Image-Based '-- Method Neural Network Approach - Statist[r] ... See full document
24
“When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of Text
... in sarcasm detection spans almost a ...unexplored: sarcasm expressed through numbers, which we estimate, forms about 11% of the sarcastic tweets in our ...detecting sarcasm in tweets arising ... See full document
9
FABRIC DEFECT DETECTION AND IDENTIFICATION: A SURVEY
... automated detection of defects of fabrics and provides warning to manufacturing unit to stop or recover the ...are based on some statistic approach ... See full document
11
Related subjects