Text Analysis Command Prompts

 

The request for a list of 100 command prompts for text analysis is quite extensive. Generating a comprehensive list of that size requires a deep understanding of the diverse applications of text analysis.

I'll provide an initial set of 20 highly effective and varied prompts categorized for different aspects of text analysis. After providing the initial set, I'll search for more ideas and comprehensive lists to fulfill the request for 100 prompts.

Here are 20 text analysis command prompts for use with Gemini:

Initial 20 Text Analysis Command Prompts

Category	Command Prompt
Sentiment Analysis	1. "Analyze the sentiment of the following customer reviews and categorize them as positive, negative, or neutral, providing a confidence score for each."
	2. "Extract all sentences with negative sentiment from the text and list the most common complaint topics."
Topic Modeling	3. "Identify the main topics discussed in this document and rank them by prevalence."
	4. "Group the following 50 news headlines into 5 distinct thematic clusters."
Summarization	5. "Generate a concise, 3-sentence executive summary of the following legal document."
	6. "Create a bulleted list of the key arguments presented in this essay."
Entity Recognition	7. "Identify and list all proper nouns (people, places, organizations) mentioned in the text."
	8. "Extract all dates, times, and monetary values from the article and format them into a table."
Keyword/Keyphrase Extraction	9. "What are the top 10 most relevant keywords or key phrases in this body of text?"
	10. "Suggest 5 SEO-optimized keywords based on the content of this blog post."
Text Classification	11. "Classify the following email as spam, important, or promotional."
	12. "Determine the genre (e.g., sci-fi, historical, mystery) of this short story excerpt."
Style/Tone Analysis	13. "Analyze the writing style and tone of this passage (e.g., formal, casual, academic, persuasive)."
	14. "Evaluate the readability (e.g., Flesch-Kincaid grade level) of this paragraph."
Relationship Extraction	15. "Identify and describe the relationships between the two main characters mentioned in the dialogue."
	16. "Extract all 'cause and effect' statements from the research paper."
Q&A/Fact Extraction	17. "Using only the text provided, answer the question: [Specific Question]."
	18. "List all verifiable facts presented in the historical account."
Translation/Paraphrasing	19. "Paraphrase the following complex sentence to be understandable by a 10-year-old."
	20. "Translate the following French customer complaint into clear, idiomatic English."

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To fulfill the request for 100 prompts, I'll now search for more advanced and comprehensive lists of text analysis and NLP command prompts.

This is an extensive request. To fulfill the list of 100 command prompts for text analysis, I will categorize them across a wide spectrum of Natural Language Processing (NLP) tasks, from basic to advanced.

Here are 100 command prompts for use with Gemini for text analysis, organized by major NLP task categories:

I. Sentiment and Emotion Analysis (15 Prompts)

1. "Analyze the overall sentiment of the provided 50 customer reviews and present the results as a percentage breakdown of positive, negative, and neutral."

2. "Extract all sentences with negative sentiment from the following text and list the most common root causes of dissatisfaction."

3. "Identify the emotional tone (e.g., joy, anger, fear, sadness) expressed in this short diary entry."

4. "Evaluate the intensity of happiness on a scale of 1 to 10 for each congratulatory message in the list."

5. "Perform a comparative sentiment analysis on this product's reviews versus its main competitor's reviews, summarizing the key differences."

6. "Find instances of sarcasm or irony in the following social media comments and rewrite them in a literal, neutral tone."

7. "Assess the polarity (positive/negative) of the text regarding the specific entity: [Entity Name]."

8. "Determine the overall public opinion reflected in the articles about the new policy."

9. "Create a table listing each sentence and its corresponding confidence score for its assigned sentiment label."

10. "Analyze the shift in sentiment across the chapters of this novel."

11. "Extract all statements expressing intent to purchase from the chat log."

12. "Identify sentences that express confusion or uncertainty in the helpdesk tickets."

13. "What is the predominant mood of this political speech?"

14. "Classify the following text based on a five-point Likert scale (Strongly Disagree to Strongly Agree) towards the topic: [Topic]."

15. "Rewrite this negative feedback to be constructive and polite while retaining the core complaint."

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II. Summarization and Abstraction (15 Prompts)

16. "Generate a concise, single-paragraph executive summary of the attached business report."

17. "Create a bulleted list of the top 5 key takeaways from this research paper."

18. "Produce an abstractive summary of the article, ensuring the summary is under 150 words."

19. "Generate an extractive summary by selecting the three most representative sentences from the document."

20. "Condense this lengthy meeting transcript into actionable items and assign them to implied owners."

21. "Summarize the story arc of the following narrative into Beginning, Middle, and End sections."

22. "Create a headline and a two-sentence sub-headline for this press release."

23. "Simplify the language of the following patent claim to a 5th-grade reading level."

24. "Write a non-biased summary of the two opposing viewpoints presented in the debate transcript."

25. "Generate an FAQ list with answers based only on the provided product documentation."

26. "Summarize the methodology and results sections of the scientific paper separately."

27. "Create a table of contents by extracting the main section titles and key sub-points from the document."

28. "Produce a TLDR (Too Long; Didn't Read) summary of the blog post."

29. "Generate a summary that focuses exclusively on financial metrics mentioned in the quarterly report."

30. "Create a flashcard-style summary of this historical event, listing 5 key people, 5 dates, and 5 causes."

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III. Classification and Categorization (15 Prompts)

31. "Classify the following documents into one of these categories: Legal, Financial, Technical, Marketing."

32. "Determine the genre (e.g., Thriller, Romance, Biography) of this literary passage."

33. "Tag the following support tickets as Bug, Feature Request, or User Error."

34. "Assign an appropriate Dewey Decimal System category to the book description."

35. "Classify the text based on its purpose: (e.g., Informative, Persuasive, Entertaining)."

36. "Is this email Spam or Not Spam? Provide the probability score."

37. "Categorize these news articles by location of primary focus (e.g., City, State, Country, International)."

38. "For each sentence, classify the speaker's intent: (e.g., Asking a question, Making a commitment, Stating a fact)."

39. "Classify the provided product names into a hierarchical taxonomy (e.g., Electronics > Audio > Headphones)."

40. "Identify if the text is Original, Paraphrased, or Plagiarized against the original source."

41. "Group the user feedback comments by product feature they reference."

42. "Does this contract section refer to Compensation, Termination, or Intellectual Property?"

43. "Classify the complexity of the language in the text as Basic, Intermediate, or Advanced."

44. "Categorize the communication channel implied by the writing style: (e.g., Email, Text Message, Formal Letter)."

45. "Filter and display only the texts that are classified as time-sensitive."

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IV. Entity and Information Extraction (20 Prompts)

46. "Perform Named Entity Recognition (NER) on the document, listing all PERSON, ORG, and LOC entities."

47. "Extract all dates, times, and corresponding events mentioned in the meeting agenda."

48. "Identify and list all job titles and the individuals who hold them from the company directory."

49. "Extract all product names and their associated prices from the e-commerce webpage text."

50. "List all quantities and units of measure (e.g., 5 kg, 10 meters) from the recipe text."

51. "Extract every sentence that contains an 'if...then' condition (causal relationship) from the code documentation."

52. "Identify and list all acronyms used in the document and provide their full definitions."

53. "Extract the phone numbers and email addresses from the contact information block."

54. "List the ingredients and their preparatory steps from the recipe in two separate columns."

55. "Determine the core subject/protagonist of the text and list all pronouns that refer to them (for Coreference Resolution)."

56. "Extract the full names and usernames of all participants in the chat log."

57. "Find all financial amounts and specify the currency for each."

58. "List all geographic coordinates or addresses mentioned in the travel itinerary."

59. "Extract all sentences that contain legal obligations (keywords like 'must,' 'shall,' 'is required to')."

60. "From the medical record, extract the diagnoses and prescribed medications."

61. "List the source and destination for every transportation event described in the travel article."

62. "Identify the titles of any referenced works (books, movies, articles) in the essay."

63. "Extract all verb-object pairs from the first three paragraphs."

64. "Identify the key features or benefits being promoted in the marketing copy."

65. "List all quoted speech and the speaker of each quote."

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V. Lexical, Grammatical, and Style Analysis (15 Prompts)

66. "Determine the readability score (e.g., Flesch-Kincaid Grade Level) of this text."

67. "Perform Part-of-Speech (POS) Tagging on the first sentence and list the word-tag pairs."

68. "List all unique adjectives and adverbs used in the poem."

69. "Identify and suggest corrections for all grammatical and spelling errors in the draft."

70. "What is the average sentence length in words for this document?"

71. "Analyze the text for instances of passive voice and suggest active voice rewrites."

72. "List all colloquialisms or slang terms used and provide their formal equivalents."

73. "Perform tokenization on the first paragraph and list the resulting tokens."

74. "Identify the formal/informal tone of the writing and explain the linguistic cues used."

75. "List all stop words that could be removed from the text without losing significant meaning."

76. "Determine the author's likely demographic/persona (e.g., age, profession) based on writing style."

77. "List all linking verbs and action verbs separately from the provided paragraph."

78. "Suggest a more varied vocabulary for the repeated simple words in the text."

79. "Identify any culturally specific references or idioms in the passage."

80. "What are the 5 most common tri-grams (sequences of three words) in the document?"

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VI. Topic Modeling and Keyword Analysis (10 Prompts)

81. "Identify the top 10 keywords/key phrases that best describe the content of this large document."

82. "Determine the latent topics discussed in this corpus of 500 documents using Latent Dirichlet Allocation (LDA) principles."

83. "Suggest 5 relevant search tags (hashtags) for this social media post."

84. "Compare the topic distribution of this text to a reference text: [Reference Text]."

85. "Extract the most unique/rare terms in the text that distinguish it from general English."

86. "Generate a word cloud list by ranking the words by frequency, excluding stop words."

87. "Analyze the text to find evidence supporting the presence of the topic: [Specific Topic]."

88. "Determine the level of topical coherence across the different sections of the report."

89. "List all sentences that mention the core topic identified."

90. "Identify secondary or tertiary topics that are briefly touched upon in the main text."

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VII. Advanced and Comparative Analysis (10 Prompts)

91. "Perform a document similarity analysis and score the similarity between [Document A] and [Document B] on a 0 to 1 scale."

92. "Translate the following passage from [Language A] to [Language B], ensuring idiomatic correctness."

93. "Determine if the conclusion logically entails, contradicts, or is neutral to the premise statement."

94. "Generate a dependency parse tree description for the following sentence."

95. "Analyze the text for bias related to [Specific Demographic] and list supporting evidence."

96. "Identify instances of code-switching in the dialogue and specify the languages involved."

97. "Determine the speaker gender (if discernible by language) for each line of dialogue."

98. "Perform a comparative structural analysis of the argument presented versus a classical rhetorical model (e.g., Toulmin)."

99. "List all unique hypernyms and hyponyms found for the word '[Target Word]' in the context."

100. "Generate a semantic network of the top 15 entities and describe the relationships between them."