TwitterDataMining vs ScreenplayIQ

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-10
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At a glance

DimensionTwitterDataMiningScreenplayIQ
Target UsersAcademics, data science students, researchersScreenwriters, producers, studio executives
Primary FunctionTwitter topic detection and sentiment analysisAI screenplay analysis with box office prediction
Key FeaturesWOLDA algorithm, sentiment lexicons, dynamic vocabulary, visualizationsStructural feedback, beat sheet, heatmap, genre classification, API
IntegrationsNone listedPitchTrailer
LimitationsRequires Python skills, uses deprecated Twitter API v1.1Only English feature films, max 150 pages

Choose ScreenplayIQ if you need data-driven script feedback and box office forecasting for feature films. Choose TwitterDataMining only if you are a technical researcher studying streaming topic models and willing to work with an academic prototype on an outdated API.

TwitterDataMining
TwitterDataMining

Open-source 2016 thesis project implementing WOLDA, a windowed online LDA for Twitter topic detection and sentiment analysis.

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ScreenplayIQ
ScreenplayIQ

AI screenplay analysis that turns your draft into loglines, comps, character arc charts, and proofed fixes

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Pricing
Free
Paid
Plans
$0
~$24 for TV / ~$38 for Feature
~$48 for TV / ~$78 for Feature
~$60 for TV / ~$98 for Feature
~$24 for TV / ~$38 for Feature
Popularity
6 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
Web
WebAPI
Categories
📊 Data & Analytics🔬 Research & Education
📖 Fiction & Screenwriting
Features
WOLDA (Windowed Online LDA) streaming topic model
Sliding time-window vocabulary with min_df filtering
Dynamic vocabulary handling of new words, slang, and abbreviations
Contribution factor C linking consecutive time slices for topic evolution
Real-time hot topic detection on streaming tweets
Representative tweet extraction via KL-mean divergence
Representative tweet extraction via cosine distance
Representative tweet extraction via maximum entropy
Sentiment classification into positive, negative, and neutral
Sentiment analysis combining SVM and logistic regression
Lexicon features from five sentiment lexicons (Bing Liu, MPQA, NRC Hashtag, Sentiment140, and others)
N-gram text features at 1 to 3 grams
POS tagging with CMU ArkTweetNLP
Negation expansion and _NEG suffix handling for polarity flips
Repeated-letter normalization for words like coooooooool
Generate a logline from a full screenplay draft
Surface comparable films and TV shows for market fit
Break a script into structured story points
Produce a full synopsis without reading the whole draft
Write character synopses for the full cast
Create visual representations of characters
Chart each character's emotional journey across the script
Deliver a full assessment analysis of the draft
Break down the story's themes
Proofread report with inline highlights on every issue
Recommend a fix for each flagged issue
Build a custom analysis package outside the presets
Price analysis by page length, quoted separately for TV and features
Store uploaded scripts in encrypted, siloed storage
WGA-compliant handling of submitted scripts

What real users say: TwitterDataMining vs ScreenplayIQ

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

TwitterDataMining

10 mentions across 2 sources · 35% positive — critical (averaged across 2 sources)

YouTube, GitHub

What users praise

  • • Introduces WOLDA, a windowed online LDA variant with dynamic vocabulary
  • • Complete pipeline from tweet streaming to visualization
  • • Achieved competitive F1 of 0.714 on SemEval 2013 sentiment data
  • • Open-source and free to study or reuse as a research base

What frustrates them

  • • Requires deprecated Twitter API v1.1, unusable without major fixes
  • • Written for Python 2.7; no support for modern Python 3
  • • No active maintenance or community support
  • • Reported typos and setup errors in the code

Researched Aug 14, 2026

ScreenplayIQ

No verifiable community signal. We scanned public discussion on Oct 7, 2026 and found posts matching the name “ScreenplayIQ”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • Professional screenwriter
    Pick: ScreenplayIQ

    You need detailed structural feedback and box office predictions for feature films. ScreenplayIQ's Pro tier offers unlimited analyses and comparative market data for $19/mo, directly supporting your goal of improving script marketability.

  • Data science student researching topic modeling
    Pick: TwitterDataMining

    The open-source WOLDA implementation and comprehensive documentation (thesis) provide a hands-on learning tool for streaming LDA variants and sentiment analysis, despite the outdated API.

  • Film producer evaluating scripts
    Pick: ScreenplayIQ

    ScreenplayIQ's box office prediction and comparative market data help you assess financial potential. The collaborative workspace (Studio tier) allows your team to review scripts together.

  • Non-technical social media analyst
    Pick: TwitterDataMining

    Not recommended. TwitterDataMining lacks a GUI and requires Python and probabilistic modeling skills. Consider other tools with user-friendly dashboards.

Frequently Asked Questions

TwitterDataMining vs ScreenplayIQ: which should you choose?

Choose ScreenplayIQ if you need data-driven script feedback and box office forecasting for feature films. Choose TwitterDataMining only if you are a technical researcher studying streaming topic models and willing to work with an academic prototype on an outdated API.

Can ScreenplayIQ edit my script's grammar?

No, it focuses on structural and market analysis, not line-by-line editing.

Does TwitterDataMining support Twitter API v2?

No, it uses the deprecated v1.1 Streaming API. You would need to modify the code to work with v2.

What is the maximum script length for ScreenplayIQ?

The AI context window limits analysis to scripts under 150 pages.

Is TwitterDataMining ready for production use?

No, it is a research prototype from 2016. It is best suited for academic study and experimentation.

Does ScreenplayIQ support TV pilots or short films?

No, it is designed for English feature films only.

Can I collaborate with my team on ScreenplayIQ?

Yes, but only on the Studio ($49/mo) tier, which supports up to 5 users in a workspace.

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Last reviewed: July 4, 2026