Статьи и исследования · Deep Emotional Analysis
Instagram Comments
Analysis Report
Generated May 26, 2026 · 78 Reels · 56,672 Comments
01 · Executive Summary
A comprehensive analysis of 56,672 Instagram comments extracted from 78 Reels. The analysis covers sentiment, emotional categories, audience pain points, and community engagement patterns.
Top pain point: Faith & Spiritual Crisis — 2,712 comments (4.8%). Crisis signals: 371 comments (0.65%) flagged as potential suicidal ideation or self-harm.
02 · Sentiment Analysis
Analysis was performed using VADER (Valence Aware Dictionary and sEntiment Reasoner), an algorithm specifically tuned for social media text. Each comment received a compound score from −1 to +1, along with positive, negative, and neutral sub-scores.
Score distribution: bimodal — comments tend toward strongly positive or strongly negative poles, with a notable peak at the neutral point (0.00). Mean score: 0.053.
Most Positive Comments (Top 5)
| # | Score | Likes | Length |
|---|---|---|---|
| 1 | 1.000 | 0 | 1,807 chars |
| 2 | 1.000 | 0 | 1,748 chars |
| 3 | 0.999 | 19 | 1,718 chars |
| 4 | 0.999 | 0 | 2,121 chars |
| 5 | 0.998 | 0 | 371 chars |
Most Negative Comments (Top 5)
| # | Score | Likes | Length |
|---|---|---|---|
| 1 | −0.994 | 0 | 111 chars |
| 2 | −0.994 | 0 | 1,970 chars |
| 3 | −0.996 | 0 | 2,090 chars |
| 4 | −0.996 | 0 | 2,090 chars |
| 5 | −0.997 | 2 | 634 chars |
03 · Pain Points Analysis
Pain points were identified using a comprehensive keyword-based approach covering 22 major categories of emotional distress. A single comment may match multiple categories. Percentages represent the proportion of all 56,672 comments containing language associated with each category.
Ranking by Prevalence and Community Support
| Pain Category | Count | % of Total | Avg. Likes |
|---|---|---|---|
| Faith & Spiritual Crisis | 2,712 | 4.8% | 58.2 |
| Relationship Breakup & Heartbreak | 2,116 | 3.7% | 25.9 |
| Loneliness & Isolation | 1,344 | 2.4% | 11.0 |
| Grief & Loss | 1,076 | 1.9% | 50.2 |
| Depression & Hopelessness | 840 | 1.5% | 89.6 |
| Anxiety & Stress | 824 | 1.5% | 122.3 ↑ |
| Addiction & Substance Abuse | 606 | 1.1% | 47.1 |
| Parenting & Family Struggles | 523 | 0.9% | 30.3 |
| Self-Esteem & Self-Worth | 494 | 0.9% | 3.3 |
| Physical Health & Chronic Illness | 439 | 0.8% | 14.6 |
| Suicidal Ideation & Self-Harm | 421 | 0.7% | 8.4 |
| Feeling Stuck & Lost in Life | 388 | 0.7% | 18.4 |
| Regret & Past Mistakes | 330 | 0.6% | 6.2 |
| Comparison & Social Pressure | 327 | 0.6% | 5.0 |
| Fear of Failure & Perfectionism | 228 | 0.4% | 7.5 |
| Financial & Career Struggles | 205 | 0.4% | 41.6 |
| Guilt & Caregiver Burden | 202 | 0.4% | 1.0 |
| Aging & Mortality | 177 | 0.3% | 19.4 |
| Trauma & Abuse | 125 | 0.2% | 4.3 |
| Pet Loss & Animal Grief | 108 | 0.2% | 3.5 |
| Friendship Loss & Betrayal | 97 | 0.2% | 11.3 |
Community support insight: Anxiety & Stress (avg. 122.3 likes) and Depression & Hopelessness (89.6 likes) receive the highest community response, despite having fewer comments than Faith & Spiritual Crisis — indicating heightened collective empathy for those topics.
04 · Emotional Categories
Beyond pain points, each comment was classified into one of six broader emotional themes. These categories reveal the dominant emotional register of the community.
| Category | Count | Share |
|---|---|---|
| Anger & Frustration | 1,817 | 3.2% |
| Empathy & Connection | 1,407 | 2.5% |
| Hope & Resilience | 967 | 1.7% |
| Gratitude | 742 | 1.3% |
| Despair | 741 | 1.3% |
| Motivation & Inspiration | 161 | 0.3% |
Key finding: Anger & Frustration is the dominant emotion at 3.2%, consistent with the community’s willingness to openly share personal struggles. Positive emotional categories combined (Empathy + Hope + Gratitude + Motivation) total 5.8%, indicating a supportive undercurrent.
05 · Crisis Signals & Cries for Help
Top Flagged Comments (by likes)
| # | Likes | Sentiment | Length |
|---|---|---|---|
| 1 | 1,732 | −0.55 | 262 chars |
| 2 | 696 | −0.77 | 166 chars |
| 3 | 317 | −0.01 | 374 chars |
| 4 | 182 | −0.79 | 22 chars |
| 5 | 119 | −0.75 | 71 chars |
| 6 | 61 | −0.72 | 198 chars |
| 7 | 50 | −0.41 | 403 chars |
| 8 | 48 | −0.67 | 42 chars |
| 9 | 47 | +0.75 | 278 chars |
| 10 | 43 | +0.71 | 28 chars |
Some flagged comments carry positive sentiment scores — these typically reflect crisis-to-recovery narratives (e.g. “I wanted to end it all, but I’m glad I didn’t”). Context analysis is recommended before acting on flags alone.
06 · Text Analysis
Top 50 Most Frequent Words (stopwords removed)
god 1,411 · real 940 · alone 837 · true 790 · book 777 · talk 757 · world 722 · live 709 · care 628 · years 605 · last 582 · person 540 · hard 513 · end 487 · nobody 464 · pain 437 · understand 435 · que 430 · die 429 · peace 420 · year 419 · sometimes 418 · cares 408 · anymore 405 · december 403 · work 398 · shit 395 · find 390 · family 386 · first 380 · hate 377 · feels 358 · jesus 357 · gonna 349 · help 348 · stop 344 · jacket 339 · trying 336 · reason 334 · today 333 · without 330 · death 330 · created 327 · damn 318 · heart 313 · fuck 306 · long 305 · wanna 302 · miss 298 · repost 298
Top 30 Most Frequent Bigrams
silent repost 196 · last december 141 · nobody cares 130 · captain captain 127 · years ago 99 · permanent solution 98 · created god 88 · next year 78 · iran needs 77 · needs helpplease 75 · helpplease iran 75 · jesus christ 70 · god created 69 · first last 66 · chat gpt 65 · robin williams 64 · song name 60 · comment section 59 · talk god 58 · trying impress 57 · rest peace 55 · stay strong 53 · years old 52 · hits hard 51 · hit hard 51 · mental health 48 · last year 48 · reason live 46 · year old 44 · code story 37
Top 20 Most Frequent Trigrams
iran needs helpplease 75 · needs helpplease iran 75 · helpplease iran needs 75 · first last december 48 · permanent solution temporary 28 · rloves rlovesjanumiss rloves 27 · rlovesjanumiss rloves rlovesjanumiss 26 · promo code story 23 · suicide permanent solution 23 · turned last month 18 · captain captain missed 17 · solution temporary problems 14 · mau jadi bunga 13 · solution temporary problem 13 · age living last 12 · turning next year 11 · eat live children 10 · aku mau jadi 10 · live children dieborn 9 · children dieborn eat 9
07 · Pain Point Trends Over Time
The table below tracks pain-point category counts month by month. Trends reveal whether specific forms of distress are growing or declining, and may correlate with external events or content themes.
Peak months at a glance
- Apr 2026 — Faith & Spiritual Crisis peak: 747 comments
- Mar 2026 — Relationship Breakup peak: 527 comments
- Feb 2026 — Loneliness & Isolation peak: 292 comments
| Month | Faith | Relation. | Loneliness | Grief | Depression | Anxiety | Addiction | Suicidal |
|---|---|---|---|---|---|---|---|---|
| 2023-12 | 163 | 188 | 29 | 46 | 36 | 20 | 34 | 16 |
| 2024-01 | 5 | 10 | 1 | 0 | 1 | 5 | 3 | 2 |
| 2024-02 | 3 | 5 | 3 | 2 | 9 | 3 | 2 | 2 |
| 2024-03 | 8 | 8 | 9 | 2 | 3 | 14 | 3 | 1 |
| 2024-04 | 3 | 9 | 4 | 2 | 10 | 4 | 5 | 0 |
| 2024-08 | 9 | 14 | 1 | 2 | 2 | 0 | 0 | 0 |
| 2024-09 | 3 | 7 | 1 | 3 | 3 | 3 | 0 | 0 |
| 2024-10 | 5 | 7 | 1 | 1 | 0 | 2 | 0 | 0 |
| 2025-07 | 304 | 67 | 2 | 28 | 3 | 45 | 25 | 3 |
| 2025-08 | 75 | 23 | 2 | 5 | 1 | 15 | 7 | 0 |
08 · Conclusions & Insights
Dominant Themes
The most prevalent pain point with 2,712 comments (4.8%). The community shows deep engagement around questions of meaning, purpose, and spiritual struggle.
Second largest category with 2,116 comments (3.7%). Romantic loss drives significant emotional expression and community response.
Third major theme with 1,344 comments (2.4%). A foundational emotional undercurrent that amplifies other pain categories.
The dominant emotional category at 3.2%. This aligns with the community’s tendency to share personal struggles and seek support openly.
The analysis reveals that Instagram comments on these reels are deeply emotional. The three most prevalent pain points are: (1) Faith & Spiritual Crisis, (2) Relationship Breakup & Heartbreak, and (3) Loneliness & Isolation. The dominant emotional category is “Anger & Frustration”, which aligns with the community’s tendency to share personal struggles and support each other.
Community Dynamics
The sentiment analysis shows that 34.1% of comments are positive, suggesting a supportive community environment despite the heavy subject matter. However, the 24.1% negative comments represent a significant number of individuals expressing genuine distress.
Crisis Concerns
371 comments flagged as potential cries for help — 0.65% of all comments. While some may be expressions of empathy rather than personal crises, the volume suggests this community includes many individuals in acute emotional distress. Content creators and platform moderators should be aware of this dynamic.
Recommendations
Consider adding mental health resources and helpline information to reel descriptions.
Implement crisis detection algorithms to provide immediate support resources.
Track pain point trends monthly to identify emerging mental health crises.
Prioritize the top pain categories for content that addresses these specific struggles.
09 · Commercial & Business Insights
This section translates the emotional analysis into actionable commercial insights for content creators, brands, mental health professionals, and platform strategists.
Audience Segmentation by Emotional Profile
Of 56,672 total comments, 5,148 (9.1%) contain detectable emotional signals. This represents a highly engaged, emotionally expressive audience.
- Primary. 1,817 comments (3.2%) express Anger & Frustration. This is the primary emotional driver of engagement.
- Secondary. 1,407 comments (2.5%) express Empathy & Connection.
- Tertiary. 967 comments (1.7%) express Hope & Resilience.
Engagement & Virality Analysis
Viral pain content: the top 1% most-liked comments (>63 likes) contain 168 comments with identifiable pain points. Pain-driven content generates significant engagement.
Sentiment–engagement: positive comments average 15.2 likes vs. negative comments at 29.6 likes. Negative content drives more engagement.
Content & Monetization Opportunities
With 9,790 comments expressing pain points, there is a clear demand for therapeutic, self-help, and coaching content. Top topics: Faith & Spiritual Crisis, Relationship Breakup & Heartbreak, Loneliness & Isolation.
Partner with therapy apps (BetterHelp, Talkspace), online courses, or wellness brands for sponsored content targeting these specific pain categories.
Develop a paid newsletter, course, or community focused on the top pain categories. The existing engagement demonstrates willingness to share and connect.
82 reels with an average of 691 comments per reel indicates a highly active and engaged follower base ready for deeper community experiences.
Community Value & Retention Metrics
5,160 comments (9.1%) are over 100 characters, and 382 (0.7%) exceed 500 characters. Long comments indicate deep emotional investment and high-quality engagement.
19,316 positive comments (34.1%) suggest a loyal, supportive community. This is a strong indicator of follower retention.
Revenue Potential & Market Sizing
Estimated 9.27M impressions at $5–15 CPM for the mental health vertical. Potential ad revenue: $46,365–$139,094.
With 371 crisis signals and 9,790 pain-expressing users, affiliated mental health services at 0.5–2% conversion, $50–100 per referral.
Premium community or course at $29–99/month, converting 0.1% of engaged users, generating $19,722–$67,326 annually.
Strategic Recommendations
- Content pipeline. Create targeted content series for each top pain category (depression, grief, loneliness). This directly addresses demonstrated audience needs.
- Data-driven posting. Implement automated sentiment tracking per reel to optimize posting strategy. Reels with higher negative sentiment tend to generate more pain-sharing and deeper engagement.
- Community product. Build a peer support community (Discord, Circle, etc.) to monetize the existing tendency for empathetic engagement. The “Empathy & Connection” category shows users naturally form support networks.
- Sponsorship strategy. Approach mental wellness brands, therapy platforms, and self-help publishers with this data as proof of an engaged, emotionally invested audience.
- Seasonal strategy. Use the pain trend data (Section 7) to time content and campaigns around seasonal emotional patterns (e.g. holiday grief, New Year anxiety).
Instagram Comments Analysis Report · 56,672 comments · 78 reels · Generated May 26, 2026 · VADER NLP