一个细粒度的标记数据集用于技术教育中的文本情绪分析
Manoj Singh1, Subhash Panwar1, Sanju Choudhary2
1CSE & IT, Government Engineering College, Bikaner, India.
Data in brief
|December 6, 2024
概括
这项研究引入了一套用于技术教育情绪分析的新数据集,其中包括超过14,000条记录. 本资源有助于自然语言处理模型的开发和评估.
科学领域:
- 自然语言处理自然语言处理.
- 模式识别 模式识别
- 机器学习 机器学习
- 数据科学数据科学数据科学
背景情况:
- 情绪分析对于理解各种领域的用户反至关重要.
- 现有的数据集缺乏对技术教育部门的全面覆盖.
- 全印度技术教育委员会 (AICTE) 负责监督印度广泛的技术机构网络.
研究的目的:
- 呈现一种新的,大规模的,精心策划的数据集,用于专门用于技术教育的情绪分析.
- 为培训和评估自然语言处理和深度学习模型提供公开可用的资源.
- 促进对技术教育领域反的细微理解和分析.
主要方法:
- 数据收集涉及一个在线应用程序,分发给AICTE的约1万个技术机构.
- 这些机构的代表在一年内手动输入了超过14,000份记录.
- 数据集被分为七个不同的情绪标签,并进一步分为10个模块.
主要成果:
- 一个包含 14,272 条记录的数据集成功创建和策划.
- 该数据集是首个在技术教育领域公开使用的数据集.
- 它提供了丰富的资源,具有适合深度学习应用的多类,多标签数据.
结论:
- 开发的数据集是技术教育中推进情绪分析和自然语言处理研究的宝贵资产.
- 它可以开发和对比更强大,更准确的机器学习模型.
- 数据集的质量和全面性支持各种应用,包括情绪分类和反分析.
更多相关视频
07:12Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
Published on: August 26, 2016
9.4K
12:51Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
Published on: June 16, 2018
7.4K
相关概念视频
Classification of Signals
401
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
401
Student t Distribution
5.9K
The population standard deviation is rarely known in many day-to-day examples of statistics. When the sample sizes are large, it is easy to estimate the population standard deviation using a confidence interval, which provides results close enough to the original value. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
The Student t distribution was developed by William S. Goset (1876–1937) of the...
The Student t distribution was developed by William S. Goset (1876–1937) of the...
5.9K
Comparing Experimental Results: Student's t-Test
1.5K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
1.5K
Labeling Emotion
103
Emotional labeling is a cognitive process that involves identifying and naming one's emotions, such as anger, fear, happiness, or sadness. It allows individuals to recognize and express their internal emotional states, a critical aspect of emotional regulation and communication. Labeling emotions requires more than mere recognition; it also involves drawing upon memory and contextual cues to understand the current situation and apply a corresponding emotional label. For instance, feeling...
103
Qualitative Analysis
22.0K
For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
For instance, group IV...
For instance, group IV...
22.0K
Classification of Titrimetric Analysis Based on Reaction Types
715
Titrimetric analysis in solution chemistry involves measuring the volume of solutions and is often called volumetric analysis. The standard solution of known concentration in the burette is called the titrant, whereas the solution of unknown concentration in the flask is called the analyte, or titrand. Titrimetric analyses can be classified into four types based on the reactions between the titrant and analyte.
Titrations between an acid and a base lead to neutralization reactions that form...
Titrations between an acid and a base lead to neutralization reactions that form...
715
