Net daily sentiment ranged from -41.99 for on Tuesday the 5th to 33.43 for on Tuesday the 5th.
The sentiment for each tweet is scored from -1 (most negative) to +1 (most positive) using VADER sentiment analysis. Net sentiment is calculated by summing the sentiment across all tweets for a given day and/or category, then normalizing the score by the number of tweets.
Medical conditions from the MedDRA dictionary
Anxiety was the most frequently observed medical condition mentioned. ADHD had the highest overall net sentiment of 31.24. Sickness had the lowest net sentiment this week (-51.95).
MedDra is a standardized medical terminology developed by the International Council for Harmonization Cross-referencing tweets against this list is a starting point for identifying medical conditions mentioned in tweets.
Cross-referencing the MedDRA dictionary by sentiment and topic
There were 127 tweets with an strong positive sentiment. The top 10 most frequent medical conditions mentioned within these tweets were (1) Anxiety, (2) Stress, (3) ADHD, (4) Pain, (5) Addiction, (6) Insomnia, (7) Worry, (8) Forgetfulness, (9) Headache, (10) Drowsiness. Of these terms, Headache (n=5), Drowsiness (n=4) were not in the top 10 most frequent terms across all tweets.
There were 186 tweets with an strong negative sentiment. The top 10 most frequent medical conditions mentioned within these tweets were (1) Anxiety, (2) Pain, (3) Boil, (4) Stress, (5) Crying, (6) Sickness, (7) Coldness, Cold, (8) Shaking, (9) Aggression, Aggressiveness, (10) Forgetfulness. Of these terms, Boil (n=10), Coldness, Cold (n=6), Shaking (n=6), Aggression, Aggressiveness (n=5) were not in the top 10 most frequent terms across all tweets.
The 25 most important words within positive tweets (compared to negative and neutral) tweets are shown in the treemap below. The size of each box represents the weighted score of each word. The word “chocol” within the search for “Tryptophan” had the highest overall weight. When the words are summed for each topic, Amitriptyline had the highest overall weight.
The 25 most important words within negative tweets (compared to positive and neutral) tweets are shown in the treemap below. The word “associ” within the search for “Tryptophan” had the highest overall weight. When the words are summed for each topic, “Sertraline” had the highest overall weight within negative tweets.
This analysis of words evaluates the stemmed version of words using the Snowball algorithm. By stemming words, words with similar meaning, such as pain, painful & pained, are grouped together as simply “pain”.
Beta: text classification
Tweets that describe adverse events/side effects (first person point of view)
|tweet||search topic(s)||medical condition(s) mentioned|
|Example: Mirtazapine “discontinuation syndrome” symptoms include; dizziness, irritability, anxiety, sweating, seizures, tinnitus, nausea & vomiting, insomnia, tiredness, confusion, paresthesia, shaking, headache, abnormal dreams, changes in mood, hypomania.||mirtazapine||Abnormal dreams, Anxiety, Confused, Confusion, Dizziness, Dizzy, Headache, Insomnia, Irritability, Irritable, Nausea, Seizure, Shaking, Sweating, Tinnitus, Tiredness, Vomiting|
|I got a Trazodone prescription back when my brother died cause I couldn’t sleep and would wake up multiple times a night with bad anxiety. And I took it last night cause I haven’t been sleeping well. And I think that is the longest I have ever slept consecutively in my life.||trazodone||Anxiety|
|_spier Seizures from amitriptyline. Cymbalta paralyzed my eye muscles & my whole left side. Gabapentin made me lose 99% of my memory long & short term. Withdrawals from gaba made me literally try to tear my skin off cus it hurt so bad||amitriptyline||Paralyzed, Seizure, Tearfulness|
|this is why id wish i didnt have to sleep im home alone now and very creeped out on days like these i regret ever getting near fluoxetine ive had vivid dreams ever since I started it and they havent stopped even after i went off the meds tbf it probably was bcs I didnt ask my||fluoxetine||Vivid dreams|
|oh mad i was on fluoxetine before this and it was ok just made me really demotivated and sluggish. i was off all my meds for a week and i got so much done but all of my other less fun symptoms came back so i was looking forward to taking mirtazapine lol u rlly cant win||fluoxetine, mirtazapine||Sluggishness|
|Dry mouth, sore throat, dizziness, nausea, vomiting, ringing in the ears, headache, decreased appetite, weight loss, constipation, trouble sleeping, increased sweating, or shaking (tremor) may occur.||bupropion||Constipation, Dizziness, Dizzy, Dry mouth, Headache, Nausea, Shaking, Sore throat, Sweating, Tremor, Vomiting, Weight loss|
|I came off of the snri cold turkey and I was so dizzy I had to turn my head very slowly for 2 weeks. I took Prozac years ago. I’m trying escitalopram now after a couple of years off the pills.||escitalopram||Coldness, Cold, Dizziness, Dizzy|
|Tired was my only side effect. Setraline had terrible side effects for me, hence I went onto Fluoxetine. Tiredness wore off after a wee while. Thankfully, now off them. Did a wonderful job. Best of luck.||fluoxetine||Tiredness|
|hi!! I just started taking prozac/fluoxetine 20mg daily about two weeks ago for my anxiety + some depressive symptoms. so far I’ve actually lost about a kilo and I think I’ve been more hungry since starting meds but it’s not like,, too bad of a hunger.||fluoxetine||Anxiety, Hunger|
|Can having a fever while taking Fluoxetine cause withdrawal symptoms?
I have not changed dosage or missed dosage, but I’m experiencing “brain zaps.”
Have also been experiencing diarrhea four days. I’ll call my doc tomorrow AM, but I wonder if this is a side-effect with fever./
|I take sertraline, clonazepam, and trazodone at night but usually the intense sleepiness happens before that. Sadly I fear sleeping so I wouldn’t say safe, especially since I have horribly vivid nightmares from my nightmare disorder and parasomnia.||sertraline, trazodone||Fear, Nightmare, Nightmares, Sleepiness, Sleepy|
|OK slight change of my meds. Reducing Effexor by half (happy about that, I thought today would be down to zero) and increasing Amitriptyline taken morning and night instead of just at night. #depression #anxiety #CPTSD||amitriptyline||Anxiety|
|Has anyone with CF been put on the antidepressant Mirtazapine? I hear it is great for insomnia (god I hope so) but I have also heard it makes you very groggy and fatigued the next day. I have problems with low energy as it is so I’m torn. Thoughts? #pwME #NEISvoid #LongCovid||mirtazapine||Fatigue, Groggy, Insomnia|
|_M_Poe Long covid is it’s a brutal assault from the moment you wake. Mavariroc, 1vermectin, fluvoxamine got me some a level of recovery. V9 has cleared my mind. My business is technical and the last 2 days my brain has been working clearly. I’ve got workout aches from being able to work||fluvoxamine||Ache|
|yeah it caused a lot of insomnia for me and then i was sleeping half the day and getting up late. had no motivation to do anything and my depression i felt was getting worse. i’ve never had those other ones. i’m just really hoping mirtazapine helps me lol||mirtazapine||Insomnia|
|TWO YEARS AND TWO MONTHS AFTER TAKING ONE BUPROPION EXL 150MG THAT THE SPECTRUM CABLE LEVEL ONE MANAGER RIVERO AND REPRESENTATIVE KRIS ORDERED DOCTOR FLYNN TO GIVE ME I AM HAVING EXTREME PAIN IN MY LOWER LEFT SIDE FROM MY HIP DOWN TO MY LEFT FOOT BOTTOM 7/9/2022 7:54 AM||bupropion||Pain|
|Wow. I took Gabapentin and it made me sleepy for awhile and I took a Trazodone once and it made me dizzy. <U+0001F602>||trazodone||Dizziness, Dizzy, Sleepiness, Sleepy|
|My new GP is trialling me on amitriptyline instead of codeine. Still early days and trying to manage the headache side effect but the neuropathic pain is almost gone. On the lowest dose. Reviewing it next week. Shall keep you posted||amitriptyline||Headache, Pain|
|i feel like my ocd is getting worse lately which SUCKS . aggressively rattles my bottle of clomipramine please start working again i’m begging you||clomipramine||Aggression, Aggressiveness|
|I think I took prozac for a while (it’s Fluoxetine, right?). The only unpleasant side effect I got was insomnia and weird dreams.
But I’m glad to know that eventually my body will get used to it. The nausea sometimes puts me in bed.
This classifier was trained on a set of tweets manually reviewed and tagged. The classifier was trained using GloVe, a pretrained word embedding layer.
Webpage created in R version 4.1.0 (2021-05-18) and R Studio (Version 1.4.1717) using the following packages: plotly, kableExtra, formattable, treemap, and wordpressr.
- C. Sievert. Interactive Web-Based Data Visualization with R, plotly, and shiny. Chapman and Hall/CRC Florida, 2020.
- Hao Zhu (2021). kableExtra: Construct Complex Table with ‘kable’ and Pipe Syntax. R package version 1.3.4.
- Kun Ren and Kenton Russell (2021). formattable: Create ‘Formattable’ Data Structures. R package version 0.2.1.
- Martijn Tennekes (2021). treemap: Treemap Visualization. R package version 2.4-3.
- Simit Patel (2021). wordpressr: An API Wrapper for WordPress Site APIs. R package version 0.1.0.
- Hutto, C.J. & Gilbert, E.E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014.