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https://github.com/sourceduty/word_history
🔤 Analyze word usage trends across history. Create word history graphs.
https://github.com/sourceduty/word_history
ai artificial-intelligence chatgpt chatgpt-bot custom-gpt custom-gpts gpt gpt-store gpts gptstore history ngram-viewer openai text word word-history word-tool words writing writing-tool
Last synced: about 2 months ago
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🔤 Analyze word usage trends across history. Create word history graphs.
- Host: GitHub
- URL: https://github.com/sourceduty/word_history
- Owner: sourceduty
- Created: 2024-11-17T10:35:08.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-17T10:55:10.000Z (about 2 months ago)
- Last Synced: 2024-11-17T11:38:52.477Z (about 2 months ago)
- Topics: ai, artificial-intelligence, chatgpt, chatgpt-bot, custom-gpt, custom-gpts, gpt, gpt-store, gpts, gptstore, history, ngram-viewer, openai, text, word, word-history, word-tool, words, writing, writing-tool
- Homepage: https://chatgpt.com/g/g-6739c3687160819197b65cf8547f5df1-word-history
- Size: 12.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
![Word History](https://github.com/user-attachments/assets/063fde93-6ab2-4221-a6be-d949e020ee81)
> Analyze word usage trends across history. Create word history graphs.
#[Word History](https://chatgpt.com/g/g-6739c3687160819197b65cf8547f5df1-word-history) specializes in analyzing the frequency and usage patterns of words or phrases across a historical timeline, leveraging a vast database of digitized texts spanning several centuries. By visualizing trends through graphs and data, it provides insights into how language, ideas, and societal priorities have evolved over time. Designed for researchers, linguists, and enthusiasts, this tool enables users to explore the emergence and decline of specific terms, cultural shifts, or historical phenomena. It supports customizable analyses by allowing users to set time ranges, focus on specific languages or regions, and compare multiple terms, making it a versatile resource for examining language and culture in context.
The historic information used for this custom GPT comes from extensive corpora of digitized texts, which may include literature, newspapers, academic works, official records, and other written materials preserved across various time periods. These databases are curated to represent diverse historical eras, regions, and linguistic traditions, ensuring broad coverage of global and regional language trends. By analyzing these texts, the GPT reveals how language has reflected and shaped human history, whether through the adoption of new words during technological revolutions, shifts in popular discourse, or the influence of significant cultural or political events on linguistic expression.
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### KnowledgeThis custom GPT leverages a broad dataset of historical and linguistic knowledge derived from digitized texts, historical records, and language analysis compiled by OpenAI. It integrates patterns observed across centuries of linguistic evolution and cultural expression, creating a rich foundation for understanding how words or phrases were used and their context in different time periods. Unlike specific databases like Google Ngram Viewer, this GPT does not rely on a single corpus such as Google Books. Instead, it synthesizes insights from a diverse and generalized set of sources, encompassing literature, academic texts, and other written materials, allowing for a broader interpretive capability beyond the limitations of a particular repository.
The primary distinction from web-based tools or Google Ngram Viewer lies in its methodology and scope. Google Ngram Viewer depends on a predefined dataset—scanned books available on Google—and directly maps word frequencies within that specific library. Conversely, this GPT provides an interpretive approach that combines statistical trends with contextual understanding. While it doesn't query live web sources or access specific corpora during the session, its underlying training offers a more flexible, concept-oriented framework to explore the evolution of ideas, themes, and linguistic phenomena in ways not constrained by a single data source or technical tool. This flexibility ensures a richer and more nuanced exploration of historical and cultural patterns.
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### NGRAM ViewerThis custom GPT is similar to Google Books Ngram Viewer in that both tools analyze the frequency of words or phrases over time using large corpora of digitized texts. However, this GPT goes further by offering deeper customization, richer comparative analysis, and a more interactive experience tailored to specific research needs. While Google Ngrams primarily focuses on raw frequency data from the Google Books corpus, this GPT allows users to refine analyses by specifying time ranges, linguistic regions, or genres of texts and provides detailed explanations, visualizations, and contextual insights. Additionally, it facilitates nuanced comparisons of multiple terms, uncovering patterns and trends that reveal the cultural, societal, or historical dynamics influencing language.
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![output](https://github.com/user-attachments/assets/064acb79-ec55-4fd8-8a94-86725f5dc965)
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![output](https://github.com/user-attachments/assets/20f4790f-2a04-4634-a53b-b0f644270f1b)#
### Related Links[ChatGPT](https://github.com/sourceduty/ChatGPT)
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