Reddit machine learning

Psychiatric issues are often detected through such activities and can be addressed in their early stages, potentially preventing the consequences of unattended mental disorders reddit machine learning depression and anxiety, reddit machine learning. In this paper, the authors have implemented machine learning models and used various embedding techniques to classify posts from the famous social media blog site Reddit as stressful and non-stressful. The dataset used contains user posts that can be analyzed to detect patterns in the social media activity of those diagnosed with mental disorders. The results of each method have been discussed.

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Reddit machine learning

Federal government websites often end in. The site is secure. Suicide is a major public-health problem that exists in virtually every part of the world. Hundreds of thousands of people commit suicide every year. The early detection of suicidal ideation is critical for suicide prevention. However, there are challenges associated with conventional suicide-risk screening methods. At the same time, individuals contemplating suicide are increasingly turning to social media and online forums, such as Reddit, to express their feelings and share their struggles with suicidal thoughts. This prompted research that applies machine learning and natural language processing techniques to detect suicidality among social media and forum users. The objective of this paper is to investigate methods employed to detect suicidal ideations on the Reddit forum. To achieve this objective, we conducted a literature review of the recent articles detailing machine learning and natural language processing techniques applied to Reddit data to detect the presence of suicidal ideations. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we selected 26 recent studies, published between and The findings of the review outline the prevalent methods of data collection, data annotation, data preprocessing, feature engineering, model development, and evaluation. Furthermore, we present several Reddit-based datasets utilized to construct suicidal ideation detection models. Finally, we conclude by discussing the current limitations and future directions in the research of suicidal ideation detection. Suicide is a global public-health problem.

Franklin J. Gaur et al.

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It uses a forum format for communication. The subreddit to discuss all things Machine Learning! Machine Learning. This community does not set up pairing between its members. This community does not have discounts and perks for its members. Open main menu. Community Overview. In their own words The subreddit to discuss all things Machine Learning! On Reddit 2. Community Topics View details for Data Science.

Reddit machine learning

I built the ranking by following a well-defined methodology that you can find below. Machine learning is a subfield of artificial intelligence dedicated to the design of algorithms capable of learning from data. It has numerous applications, including business analytics, health informatics, financial forecasting, and self-driving cars. In , machine learning skills are widely in-demand. So I went through our catalog of over 50K courses to put together a preliminary selection. I did so by taking into account factors like reviews, ratings, enrollments, bookmarks, and more. So this was a rather objective step: I narrowed down the options by looking at well-defined metrics. Second , I used my experience as an online learner to evaluate each preliminary pick. Metrics such as course ratings rarely tell the whole story. This has given me some perspective on what to look for in an online course, which I used to evaluate each of my preliminary picks.

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Journal of Machine Learning Research. The Reddit users use an informal style of language, containing slang and abbreviations. Alkomah F. Yeo et al. Similarly, ELMo uses character-level embeddings to create vectors for sequences. Table 1 Data source: a post level and b user level. The abundance of text posts helps identify which factors signify stress and whether a user is displaying signs of mental stress. Lemmatization is an NLP technique used to reduce word inflections into a common root called a lemma [ 47 ]. The mental state developed in adolescents, known as Fear Of Missing Out [ 10 ], has caused several emotional symptoms, leading to chronic or acute stress diseases. Jones N. More than 50 million active unique users interact with the platform in a single day.

Many people use machine learning and artificial intelligence interchangeably, but the terms have meaningful differences. Find out what they are and how AI is changing our world. Artificial intelligence AI and machine learning ML are often used interchangeably, but they are actually distinct concepts that fall under the same umbrella.

Data and material availability All data generated or analyzed during this study are included in this published article and its supplementary information files. To achieve this objective, we conducted a literature review of the recent articles detailing machine learning and natural language processing techniques applied to Reddit data to detect the presence of suicidal ideations. This is one of the few reasons a dataset is shuffled. Despite this limitation, our research demonstrates the potential of our approach to improve the current mental health support infrastructure on social media platforms and improve the lives of many users. The researchers utilized different NLP techniques to identify features that indicated suicidal ideations in a process called feature engineering. Download citation. In simple words, their work like an if-else condition statement. In other words, it is unknown whether an individual who exhibited suicidal ideations on Reddit attempted or died by suicide after posting on the forum. Tadesse M. References 1. The feature list formed using the Elmo encoder creates an array of shapes [n, m, ], where n is the number of sentences and m is the maximum number of words in each sentence. The BERT Large tokenizer was employed to create a feature list of inputs for training, which is particularly useful as it creates contextual word embeddings that aid in analyzing whether or not the words indicate stress within the context of the sentence [ 22 ]. Although SVM is a binary classifier, it can be adapted for multiclass classification, by dividing the original problem into several binary classification subproblems [ 55 ]. Table 3 presents the supervised learning methods used by Turcan et al. Extracting Data from Reddit Nine studies manually created their datasets by extracting public posts from Reddit.