Digital Conversation Intelligence Platform

Hear the Echo. Understand the Story.

Monitor selected keywords, hashtags, and public Facebook Pages across six data sources. Explore content, engagement, sentiment predictions, and entities in one dashboard.

Six supported data sources • Topic-based monitoring • Scheduled data updates

Collection schedules and available metrics vary by data source.

https://dashboard.echora.id
Echora Intelligence Dashboard Preview (Light Mode)
6 Supported Data Sources

Track selected keywords, hashtags, and public Facebook Pages.

LLM Predictions

Echora is extending LLMs across machine-learning prediction workflows for all six data sources.

Scheduled Collection

Data refresh frequency varies by source.

Data Source Analytics

Explore content volume, engagement, sentiment predictions, and source-specific signals.

Analytics Across Six Supported Data Sources

Monitor selected topics across the public content Echora can collect from each platform.

Visual & Short-Form

Instagram

Review public posts, Reels, and carousels matching tracked hashtags. Explore likes, comments, sentiment trends, accounts, hashtags, and locations.

Posts & ReelsLikes & CommentsSentiment TrendsHashtags & Mentions
Social Discourse

Twitter / X

Review keyword-matched posts, reposts, replies, likes, sentiment and volume trends, top accounts, words, and entities.

Keyword-Matched PostsReposts & RepliesTop AccountsWords & Entities
Keyword-Matched News

Online News

Find articles surfaced for monitored keywords. Echora extracts and cleans article text where available, then organizes results by sentiment, category, outlet, and entities.

Article Text ExtractionTopic CategoriesOutlet Distribution
Long-Form Video

YouTube

Explore public videos matching tracked keywords by views, likes, comment counts, channel, and category. Sentiment predictions use video titles.

Views & EngagementTitle SentimentCategory DistributionPublishing-Time Trends
Short Video Signals

TikTok

Explore keyword-matched videos by views, likes, comments, shares, saves, sentiment trends, estimated creator gender, and popular sounds.

Views & EngagementEstimated Creator GenderPopular Sounds
Page & Post Analytics

Facebook

Monitor selected public Pages and analyze their posts by engagement, sentiment, and reaction mix.

Public Page PostsEngagement CountsReaction Distribution
Machine-Learning Predictions

LLM-Powered Predictions Across Six Data Sources

Echora is extending LLMs across its machine-learning prediction workflows for all six supported data sources. Available prediction types vary with the content and metadata provided by each platform.

Sentiment Prediction

Prediction workflows classify analyzed text as positive, neutral, or negative. Language, context, and the source content can affect the result.

Illustrative sentiment mixSample data
68% Positive22% Neutral10% Negative

Named Entity Extraction

Extracts entity mentions and their predicted types from analyzed content. Echora groups matching labels so teams can review which people, organizations, and places appear most often.

Example entity mentions
PersonSatya NadellaOrganizationBank IndonesiaLocationJakarta Pusat

Topic Categorization

Where category classification is supported, prediction workflows can assign topic labels such as politics, economy, or technology to analyzed content.

Illustrative category predictionPolitics
Sample output

Cross-Source Rollout

LLM-based machine-learning predictions are intended for all six supported data sources. Each pipeline can use prediction tasks suited to its available text and metadata.

Rollout scope
NewsXInstagramYouTubeTikTokFacebook

Ready to Hear What the Internet is Saying?

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