Archilo: helping architecture work become visible.

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Updates & announcements

Archilo: helping architecture work become visible.
Archilo: helping architecture work become visible.

A focused platform for architecture portfolios, research, talent and creative opportunity. Built for architects, students and studios.

Enally announcement
Enally: building useful things, together.

A founder-led ecosystem connecting products, services, knowledge, community and opportunities. One belief, expressed in different ways.

Enally announcement
Build with us: internships, contributors and partnerships.

Practical ways for young builders, contributors and domain experts to learn through real products and useful responsibility.

Archilo growing steadily
Archilo growing steadily

Architecture portfolios and research pages now serve 5,000+ creative professionals.

Humble campus expansion
Humble campus expansion

Verified student communities now active across multiple campuses with 2K+ members.

Faaho partner beta live
Faaho partner beta live

Zero-brokerage living discovery is now available in partner beta. Technology by Enally.

Enally announcement
Enally Labs launched

Applied AI experiments, internal agents and prototype products now live under Labs.

Enally announcement
Blog redesigned

The Enally blog now brings practical guides, opportunities and ecosystem knowledge together.

Enally announcement
Services: SEO to AIO

Five-layer visibility services now available — SEO, AEO, GEO, SXO and AI Optimization.

Enally announcement
Build with us program

Internships, campus ambassadors and contributor roles open for builders who want real ownership.

Enally announcement
Company website rebuilt

Enally.in redesigned with improved performance, accessibility and dark theme support.

Data Science & Web Development 0% complete

Twitter Sentiment Analysis

Twitter Sentiment Analysis is a machine learning project aimed at analyzing sentiments associated with tweets. The project involves various steps such as data preprocessing, feature extraction, model

About this project

Twitter Sentiment Analysis is a machine learning project aimed at analyzing sentiments associated with tweets. The project involves various steps such as data preprocessing, feature extraction, model building, and evaluation.

Tech stack

PythonFlaskMachine LearningNLTKRandom ForestJupyter Notebook

Timeline

Started
Mar 1, 2024
Completed
Mar 7, 2024
Progress
0%
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