| name | opinion_analyst |
| display_name | Opinion Analyst |
| description | Public opinion analysis and sentiment at scale — sentiment scoring, stance detection, and multi-dimensional bias measurement.
|
| version | 0.1.0 |
| source_repo | 666ghj/BettaFish |
| license | MIT |
| tier | experimental |
| capabilities | ["sentiment","opinion_analysis","stance_detection","bias_measurement"] |
| allowed_tools | ["analyze_sentiment","detect_stance","measure_bias"] |
| output_formats | ["python_api","cli","mcp_server","agent_skill","rest_api"] |
Opinion Analyst
Overview
OpinionAnalyst wraps 666ghj/BettaFish, a
public-opinion analysis library built for high-throughput sentiment mining. The
specialist surfaces three core capabilities — sentiment scoring, stance detection,
and bias measurement — as callable tools within the OSS Agent Lab pipeline.
Capabilities
- sentiment: Document-, sentence-, and aspect-level sentiment scoring with a
continuous score in
[-1.0, 1.0].
- opinion_analysis: Holistic opinion mining that combines sentiment with
aspect extraction for nuanced understanding.
- stance_detection: Determines whether the author supports, opposes, or is
neutral toward a named entity or claim.
- bias_measurement: Measures political, emotional, framing, source-attribution,
and confirmation bias; returns per-dimension scores and human-readable flags.
Tools
| Tool | Description | Side Effects |
|---|
analyze_sentiment | Score sentiment (positive/negative/neutral) with confidence and aspects | None |
detect_stance | Classify stance (support/oppose/neutral) toward a target | None |
measure_bias | Score bias across configurable dimensions, return flags | None |
Usage
Python API
import asyncio
from agents.specialists.opinion_analyst.agent import OpinionAnalystSpecialist
from oss_agent_lab.contracts import Intent, Query, SpecialistRequest
specialist = OpinionAnalystSpecialist()
request = SpecialistRequest(
intent=Intent(action="sentiment", domain="opinion", confidence=0.9),
query=Query(user_input="The new policy is an outstanding step forward."),
specialist_name="opinion_analyst",
)
result = asyncio.run(specialist.execute(request))
print(result.result)
