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来自孟加拉国电子商务审查的情绪和情绪分类的综合数据集,对电子商务进行了审查

Mohammad Rifat Ahmmad Rashid¹, Kazi Ferdous Hasan¹, Rakibul Hasan¹

¹Department of Computer Science & Engineering, East West University Bangladesh, Jahurul Islam Ave, Dhaka 1212, Bangladesh.

|February 6, 2024

概括

这项研究分析了孟加拉国电子商务评论,以了解消费者的情绪和偏好. 这些发现为改进产品和指导未来发展在充满活力的孟加拉国市场提供了宝贵的见解.

科学领域:

电子商务和消费者行为分析分析
自然语言处理 (NLP) 应用程序
数字市场的情绪分析

背景情况:

客户反分析对于电子商务的成功至关重要,特别是在孟加拉国等新兴市场.
现有的研究往往缺乏在各种语言背景下对消费者情绪的细微了解.
孟加拉国电子商务平台为研究消费者的情绪和偏好提供了一个独特的景观.

研究的目的:

创建和分析来自孟加拉国电子商务平台的客户评论的综合数据集.
将在孟加拉语和英语评论中表达的情绪和情绪分类,包括带有表情符号的情绪和情绪.
为孟加拉国市场的产品增强和开发提供可操作的见解.

主要方法:

从两个主要的孟加拉国电子商务平台 (Daraz,Pickaboo) 收集数据.
在孟加拉语和英语中对评论进行语言分析,并结合了表情符号的情感.
专家对评论的注释分为五种情感类别 (快乐,悲伤,恐惧,愤怒,爱) 和情感极性 (积极,消极).

主要成果:

一个丰富的数据集的各种客户评价被编译和注释.
情绪和情绪的详细分类为消费者反提供了细致的观点.
确定影响孟加拉国购买决策的特定情绪驱动因素.

结论:

该数据集是情绪分析和NLP研究的宝贵资源.
获得的洞察力增强了对孟加拉国独特消费者行为模式的理解.
调查结果支持数据驱动的战略,以促进该地区的电子商务增长和客户满意度.

关键词:

所有类别审查审查所有类别审查.孟加拉国孟加拉国孟加拉国是一个数据集数据集数据集情绪情绪情绪情绪手动注释说明书中的注释.多种类型的多级别.多个标签的多个标签.情感情感是一种情感.

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