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[PDF] Top 20 Machine Classification for Suicide Ideation Detection on Twitter

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Machine Classification for Suicide Ideation Detection on Twitter

Machine Classification for Suicide Ideation Detection on Twitter

... Facebook, twitter, LinkedIn turned into significant medium for ...five Machine Learning algorithms called Support Vector Machine, Random Forest, Decision Tree, Naïve Bayes, and Prism, with the aim of ... See full document

7

Multi-class machine classification of suicide-related communication on Twitter

Multi-class machine classification of suicide-related communication on Twitter

... suicidal ideation in online social networks, about which concerns have been ...of machine classifiers built with the aim of classifying text relating to suicide on ...suicidal ideation, and ... See full document

13

Putting Sarcasm Detection into Context: The Effects of Class Imbalance and Manual Labelling on Supervised Machine Classification of Twitter Conversations

Putting Sarcasm Detection into Context: The Effects of Class Imbalance and Manual Labelling on Supervised Machine Classification of Twitter Conversations

... Sarcasm detection can therefore help improve natural language processing (NLP) ...as classification, with two important limitations: ...ing Twitter users’ self-declarations in the form of hashtags to ... See full document

7

The Role of Features and Context on Suicide Ideation Detection

The Role of Features and Context on Suicide Ideation Detection

... cide ideation on ...this classification task, finding that discussion con- text ...that suicide ideation detection is a task that is heavily influenced by lexical ... See full document

9

Twitter Data Classification by Machine Learning for Sentiment Analysis

Twitter Data Classification by Machine Learning for Sentiment Analysis

... 2.1. Textblob Library Textblob is the python library which process the textual data. Textblob provide API to access its methods and easily perform NLP task. The main reason behind the usage of Textblob is it’s like a ... See full document

8

Twitter Spam Detection Using Machine Learning Algorithms

Twitter Spam Detection Using Machine Learning Algorithms

... spam classification is done by extracting features from tweets and applying machine learning algorithms like Naive Bayes and Random ...the classification of tweets as spam and ... See full document

10

Enhancing Machine Based Spam Detection Using Twitter

Enhancing Machine Based Spam Detection Using Twitter

... KEYWORDS: Tweets spam, Classification, Feature Extraction, Naive Bayesian Classifier I. INTRODUCTION Tweets is an efficient mode of online communication because it actually saves a expenses and helps in reducing ... See full document

9

SNAP BATNET: Cascading Author Profiling and Social Network Graphs for Suicide Ideation Detection on Social Media

SNAP BATNET: Cascading Author Profiling and Social Network Graphs for Suicide Ideation Detection on Social Media

... Precision-Recall Curve. It was observed that adding features such as so- cial graph embeddings, historical author profiling, and tweet metadata led to a considerable improve- ment in the performance of the classifiers ... See full document

10

One step and Two step Classification for Abusive Language Detection on Twitter

One step and Two step Classification for Abusive Language Detection on Twitter

... different machine learning classifiers including our proposed Hy- bridCNN, which takes both character and word features as input, we showed the potential in the two-step approach compared to the one-step ap- ... See full document

5

An association rule dynamics and classification approach to event detection and tracking in Twitter.

An association rule dynamics and classification approach to event detection and tracking in Twitter.

... on Twitter are discovered by machine learning direct model, two-step pipeline model and two-step blended model [Popescu and Pennacchiotti, ...on Twitter [Becker et al., 2011]. Similarly EDCoW (Event ... See full document

170

Sarcasm detection using machine learning algorithms in Twitter: A systematic review

Sarcasm detection using machine learning algorithms in Twitter: A systematic review

... in Twitter. Therefore, in sarcasm classification, many researchers have extracted pragmatic features and used them in the classification ...with machine learning algorithms to identify the ... See full document

41

Gender Differences in Depression and Suicide Ideation

Gender Differences in Depression and Suicide Ideation

... restless. Suicide was doing something with purposely one's own ...suicide ideation. Depression is a major factor to related form suicide and gender ...and suicide ideation scale ... See full document

6

Adolescent Self-Harm and Suicide Ideation

Adolescent Self-Harm and Suicide Ideation

... • Suicidal ideation (thoughts of killing self) • A plan (any plan so long as it is definite and.. detailed is high risk).[r] ... See full document

19

Revising the escape theory of suicide: an examination of avoidance and suicide ideation

Revising the escape theory of suicide: an examination of avoidance and suicide ideation

... This investigation addressed the questions: 1 what is the relationship between fear of negative evaluation, depression, hopelessness, and coping specifically avoidant-oriented coping in [r] ... See full document

17

Revising the escape theory of suicide: an examination of avoidance and suicide ideation

Revising the escape theory of suicide: an examination of avoidance and suicide ideation

... Abstract A two phase investigation was undertaken to examine and develop a comprehensive understanding of a potential indicator of suicide, Fear of Negative Evaluation, and support and e[r] ... See full document

330

Twitter Sentiment Classification using Machine Learning Techniques

Twitter Sentiment Classification using Machine Learning Techniques

... on twitter hysterics the depiction of big ...in Twitter: The ban on election campaign (now called as Online Election campaign) using Internet services such as blogs, social networking services (SNS), among ... See full document

11

Health Risk and Protective Behaviors of Suicide Attempts in Adolescents with Suicide Ideation.

Health Risk and Protective Behaviors of Suicide Attempts in Adolescents with Suicide Ideation.

... with suicide attempt ...for suicide attempts found that lifetime aggression and impulsivity characterized ...attempted suicide, whereas attempters without plans or those with ideation only ... See full document

146

Rumination, Brooding, and Reflection: Prospective Associations with Suicide Ideation and Suicide Attempts

Rumination, Brooding, and Reflection: Prospective Associations with Suicide Ideation and Suicide Attempts

... One promising candidate risk factor for suicidal thoughts and behaviors is rumina- tion, defined as a repetitive, passive focus on the symptoms, causes, and consequences of one’s problems or emotions without advanc- ing ... See full document

9

Suicidal ideation and suicide attempts among asthma

Suicidal ideation and suicide attempts among asthma

... suicidal ideation and attempts than population without asthma using a large population-based ...suicidal ideation and attempts, independent of other factors that are known to be asso- ciated with ... See full document

6

Disability, depression and suicide ideation in multiple sclerosis

Disability, depression and suicide ideation in multiple sclerosis

... There are a number of methodological advantages in this study over other cross- sectional study designs in this field. Firstly, scales were delivered verbally in all cases but one. Collecting the data in this way ... See full document

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