Mohamad Mahmoodextracts.hashnode.dev·Apr 4, 2024A systematic evaluation of text mining methods for short texts: Mapping individuals’ internal states from online postsAbstract Short texts generated by individuals in online environments can provide social and behavioral scientists with rich insights into these individuals’ internal states. Trained manual coders can reliably interpret expressions of such internal st...Extracts
Mohamad Mahmoodextracts.hashnode.dev·Sep 1, 2022Text mining for social science – The state and the future of computational text analysis in sociologyAbstract: The emergence of big data and computational tools has introduced new possibilities for using large-scale textual sources in sociological research. Recent work in sociology of culture, science, and economic sociology has shown how computatio...Extracts
Mohamad Mahmoodextracts.hashnode.dev·Jun 17, 2021pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasksAbstract: In recent years, the extraction of opinions and information from user-generated text has attracted a lot of interest, largely due to the unprecedented volume of content in Social Media. However, social researchers face some issues in adopti...Extracts
Mohamad Mahmoodextracts.hashnode.dev·Jan 23, 2021The Potential of Automated Text Analytics in Social Knowledge BuildingThere are still many sociologists who are skeptical of the findings of big data-based analysis of social-data, questioning the potential of this knowledge production and its contribution to the scientific discourse of sociology.The chapter shows that...Extracts
Mohamad Mahmoodextracts.hashnode.dev·Dec 14, 2020Text Analysis in Python for Social ScientistsPrediction and Classification Elements in Quantitative and Computational Methods for the Social Sciences Abstract: Text contains a wealth of information about a wide variety of sociocultural constructs. Automated prediction methods can infer these q...Extracts
Mohamad Mahmoodextracts.hashnode.dev·Jul 1, 2020From Words to Numbers: Getting Started with Text Analysis for Applied Social ScientistsAbstract Objectives: With texts as unstructured data everywhere, text analysis or natural language processing (NLP) is a rapidly growing academic field that has great potential for novel research among many applied social scientists and practitioners...Extracts
Mohamad Mahmoodextracts.hashnode.dev·Oct 8, 2018The “Small World of Words” English word association norms for over 12,000 cue wordsAbstract: Word associations have been used widely in psychology, but the validity of their application strongly depends on the number of cues included in the study and the extent to which they probe all associations known by an individual. In this wo...Extracts
Mohamad Mahmoodextracts.hashnode.dev·Mar 22, 2018Word sense induction using word embeddings and community detection in complex networksHighlights A method to represent occurrences of words as networks is proposed. A method to cluster word senses is proposed. Community detection methods are used to cluster word senses. We studied the word sense induction task as a language networ...Extracts
Mohamad Mahmoodextracts.hashnode.dev·Jan 1, 2018Text Mining with n-gram VariablesAbstract Text mining is the process of turning free text into numerical variables and then analyzing them with statistical techniques. We introduce the command ngram, which implements the most common approach to text mining, the “bag of words”. An n-...Extracts
Mohamad Mahmoodextracts.hashnode.dev·Jul 1, 2016Mastering Social Media Mining with PythonAcquire and analyze data from all corners of the social web with Python Key benefits Make sense of highly unstructured social media data with the help of the insightful use cases provided in this guide Use this easy-to-follow, step-by-step guide t...Extracts
