GitHub

scikit-mobility - mobility analysis in Python

represent trajectories and mobility flows with proper data structures, TrajDataFrame and FlowDataFrame. manage and manipulate mobility data of various formats (call detail records, GPS data, data from ...
IEEE

Text Sentiment Analysis of Douban Film Short Comments Based on BERT-CNN-BiLSTM-Att Model

Abstract: To solve the problems of polysemy and feature extraction in the text sentiment analysis process, a BERT-CNN-BiLSTM-Att hybrid model has been proposed for text sentiment analysis. The BERT ...
GitHub

Getting started with Ollama for Python

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
IEEE

Visualizing Student Opinion Through Text Analysis

Abstract: Contribution: An automated methodology that provides visualizations of students' free text comments from course satisfaction surveys. Focusing on sentiment, these visualizations reveal ...
Journal of Medical Internet Research

Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis

Moderator analysis was performed to identify the sources of heterogeneity. Results: A total of 36 studies were included. We observed a significant overall correlation between social media texts and ...