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WRHV: Measurement & Overview

WRHV (88.7 FM) is a noncommercial radio station licensed to Poughkeepsie, New York, United States, and serving the Mid-Hudson Valley. The station is owned by WMHT Educational Telecommunications and is a satellite of Schenectady station WMHT-FM, relaying their classical music format. WRHV transmits from the main Illinois Mountain tower in the town of…

Language: English [EN]
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WRHV topic overview

The analysis highlights Measurement and Overview as prominent areas in the source structure around WRHV.

Related topics
12
Source areas
1
Connected nodes
13
Extracted relationships
18
Related term clusters
13
Bridge connections
13

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 12 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Owner
WMHT Educational Telecommunications
Affiliations
NPR
Branding
Classical WMHT FM
Broadcast area
Mid-Hudson Valley
Call sign meaning
RHV = phonetic spelling of (Hudson) River
Class
A

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Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How WRHV connects Entity context

The extracted context around WRHV shows recurring relationship patterns in the source. For example, WRHV → LMS, Public file Another extracted example is WRHV → NPR. Use these groups to spot repeated connection types before inspecting the individual relationships.

WRHV

Top relations

Public license information · 2
WRHV → LMS, Public file
Affiliations · 1
WRHV → NPR
Branding · 1
WRHV → Classical WMHT FM
Broadcast area · 1
WRHV → Mid-Hudson Valley
Call sign meaning · 1
WRHV → RHV = phonetic spelling of (Hudson) River
Class · 1
WRHV → A
ERP · 1
WRHV → 230 watts
Facility ID · 1
WRHV → 73265
First air date · 1
WRHV → November 1989 (1989-11)
Format · 1
WRHV → Classical music

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

new 88 station york united states frequency radio fm valley classical music timeshare suny heard mhz poughkeepsie mid-hudson wmht educational

WRHV relationships Subject–Predicate–Object triples

TTTA extracted 18 structured relationships around WRHV. Examples in this analysis include WRHV → Affiliations → NPR and WRHV → Branding → Classical WMHT FM. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
WRHVAffiliationsNPR1.00infobox
WRHVBrandingClassical WMHT FM1.00infobox
WRHVBroadcast areaMid-Hudson Valley1.00infobox
WRHVCall sign meaningRHV = phonetic spelling of (Hudson) River1.00infobox
WRHVClassA1.00infobox
WRHVERP230 watts1.00infobox
WRHVFacility ID732651.00infobox
WRHVFirst air dateNovember 1989 (1989-11)1.00infobox
WRHVFormatClassical music1.00infobox
WRHVFormer call signsWMHX-FM (1989–1990)1.00infobox
WRHVFrequency88.7 MHz1.00infobox
WRHVHAAT393 meters (1,289 ft)1.00infobox
WRHVLicensing authorityFCC1.00infobox
WRHVOwnerWMHT Educational Telecommunications1.00infobox
WRHVPublic license informationPublic file1.00infobox
WRHVPublic license informationLMS1.00infobox
WRHVWebcastListen live1.00infobox
WRHVWebsiteclassicalwmht.org1.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around WRHV bring nearby vocabulary together. In this analysis, examples include Frequency, States and United. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • fm
    • Mid-hudson
    • Poughkeepsie
    • Valley
    • Radio
    • States
    • United
    • York
    • Facility
    • Fcc
    • Hudson
    • Id
    • Licensed
  • poughkeepsie, new york
    • Mid-hudson
    • Valley
    • Fm
    • Poughkeepsie
    • Radio
    • States
    • United
    • York
    • Wrhv
    • New
    • Facility
    • Fcc
  • lloyd, new york
    • Fm
    • Mid-hudson
    • Poughkeepsie
    • Valley
    • Wrhv
    • New
    • York
    • Radio
    • States
    • United
    • Station
    • Suny
  • suny new paltz
    • Wrhv
    • York
    • Wfnp
    • Mid-hudson
    • Poughkeepsie
    • Suny
    • Valley
    • Frequency
    • Heard
    • Radio
    • States
    • United
  • WRHV
    • Frequency
    • States
    • United
    • York
    • Air
    • Heard
    • Mhz
    • Mid-hudson
    • November
    • Suny
    • Timeshare
    • Valley
  • wrhv
    • Frequency
    • States
    • United
    • York
    • Air
    • Heard
    • Mhz
    • Mid-hudson
    • November
    • Suny
    • Timeshare
    • Valley
  • radio station
    • States
    • United
    • Station
    • Mid-hudson
    • November
    • Poughkeepsie
    • Valley
    • Wmhx-fm
    • Classical
    • Educational
    • Format
    • Music
  • classical music
    • Educational
    • Format
    • Music
    • Telecommunications
    • Wmht
    • Facility
    • Fcc
    • Hudson
    • Id
    • Licensing
    • Npr
    • Schenectady

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the WRHV map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

WRHV

Nodes14
Edges13
Triples18
Avg. degree1.86
Density0.142857
Components1

Source & methodology

TTTA analyzes the structure around WRHV to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — WRHV · EN edition · Analysis: TopicsToTalkAbout

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