Dark Mode
Historical Family Stories Text Analysis Dataset
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides the foundation for sentiment analysis of a collection of stories written by Frank William Ford, specifically focusing on "The Ford Family" and "The King Family" histories [1, 2]. The primary purpose is to determine the emotional tone within the text, identifying sentiments as positive, negative, or neutral, thereby enabling deeper insights into the textual content [1]. This data is particularly valuable for applications in text analysis, natural language processing (NLP), and understanding the emotional landscape of narrative works [1].
Columns
The dataset contains a single column:
- Text: This column holds the narrative content from "A Collection of Stories, written by Frank William Ford" [2]. It comprises 985 unique values, each representing a segment of the stories [2].
Distribution
The dataset is provided in a single-column CSV format [2]. Specific numbers for total rows or records are not explicitly stated, but the 'Text' column contains 985 unique values [2].
Usage
This dataset is ideally suited for various text analysis and NLP applications:
- Sentiment analysis: Utilise the data to identify and categorise emotional tones within stories, such as joy, fear, or anger, using lexicons like Bing or NRC [1].
- Text preprocessing: Apply tokenisation and remove common stop words to prepare text for further analysis [1].
- Word frequency analysis: Determine the most common words and phrases to gain preliminary understanding and create visualisations like word clouds [1].
- Topic modelling: Extract underlying thematic structures using techniques like Latent Dirichlet Allocation (LDA) [1].
- Textual complexity assessment: Measure readability scores, such as the Flesch-Kincaid score, to understand the text's difficulty [1].
- Bigram analysis: Identify common word pairings and their contextual relationships within the narratives [1].
- Named Entity Recognition (NER): Extract key entities like people, places, and organisations mentioned in the stories [1].
- Business intelligence: Apply insights for understanding narrative content and reader sentiment [1].
- Social media monitoring: Though primarily historical text, the techniques demonstrated with this dataset are applicable to monitoring textual data from social platforms [1].
- Customer feedback analysis: The methods used for this dataset can be adapted to analyse customer reviews or feedback for sentiment [1].
Coverage
The dataset's content is derived from "A Collection of Stories, written by Frank William Ford," detailing The Ford Family (father's side) and The King Family (mother's side) [2]. While the specific time range of the historical content is not detailed, the data's geographic coverage is global [3]. There are no specific notes on data availability for particular demographic groups or years beyond its familial focus.
License
CC-BY-NC
Who Can Use It
This dataset is suitable for:
- Data scientists and analysts keen to practice and apply NLP techniques [1].
- Researchers studying historical texts, family histories, or literary sentiment [1].
- Students learning about text sentiment analysis, topic modelling, and named entity recognition [1].
- NLP practitioners looking for a well-defined text corpus for method development and testing [1].
- Businesses or individuals seeking to understand methodologies for deriving insights from textual data [1].
Dataset Name Suggestions
- Sentiment Analysis of Frank William Ford's Stories
- Ford and King Family Narratives Sentiment Data
- Historical Family Stories Text Analysis Dataset
- Literary Sentiment Analysis: Ford & King Families
- A Collection of Stories: Sentiment Insights
Attributes
Original Data Source: Sentiment Analysis of A Collection of Stories.
QUALITY