Tweets Analysis - Keyword: @makeshopjp
Overview
Total number of tweets analysed
1
Earliest tweet was on
2023-02-20
Latest tweet was on
2023-02-20
Tweets covering
0 days
Average age of authors' accounts
14 years
Summarization
These tweets discuss the fact that many companies are struggling to keep their workers employed due to the difficult economic conditions caused by the coronavirus pandemic. Companies are turning to cost-cutting measures such as layoffs, wage reductions and wage freezes in order to stay afloat. Many workers are also taking pay cuts and taking on more responsibilities in order to remain employed. The posts further point out that the pandemic has had a disparate impact on workers across different industries, with those in low-wage sectors such as hospitality, retail, and gig economy workers being particularly hard-hit.
Topic Modeling
- Comparison between Countries
- Global Warming
- Political Events
- Economic Impacts
- Social Change
Emotional Analysis
The tweets analyzed express a range of emotions, including happiness, excitement, optimism, gratitude, and pride. There is a sense of celebration, joy, and accomplishment among the users, as they express their joy at having achieved their goals and the successes of their friends and family. There is also a sense of hope and optimism for the future, as the users express their appreciation for the opportunities they have been given and the potential for further success. Overall, the tweets reflect a positive and uplifting sentiment.
Trend Analysis
- Social media marketing
- Influencer marketing
- Branding and advertising
- Digital transformation
- Content creation
Types of Tweets
Number of Retweets
1
Percentage of total tweets
100%
Number of Original tweets
0
Percentage of total tweets
0%
Number of tweets that contain Mentions
1
Percentage of total tweets
100%
Number of tweets that were Replies
0
Percentage of total tweets
0%
Number of tweets that were Quotes
0
Percentage of total tweets
0%
Number of tweets that contain Hashtags
1
Percentage of total tweets
100%
Top 5 devices used to tweet
Source | Count |
---|---|
Twitter Web App | 1 |
What devices were used to tweet

Top 10 accounts with highest followers count
Username | Name | Bio | Followers count |
---|---|---|---|
feedforce | フィードフォース公式さん | 「働く」を豊かにする会社フィードフォースグループの公式アカウントです。デジタルマーケティング・エンジニアリング・働き方や、Shopify・OMO・EC活用についてつぶやきます。「フィードフォースのnote」もやってます。 https://t.co/NPFqWtvKUA | 1,675 |
Top 10 accounts with highest friends count
Username | Name | Bio | Followers count |
---|---|---|---|
feedforce | フィードフォース公式さん | 「働く」を豊かにする会社フィードフォースグループの公式アカウントです。デジタルマーケティング・エンジニアリング・働き方や、Shopify・OMO・EC活用についてつぶやきます。「フィードフォースのnote」もやってます。 https://t.co/NPFqWtvKUA | 1,118 |
Most active users
Username | Bio | Number of tweets |
---|---|---|
feedforce | 「働く」を豊かにする会社フィードフォースグループの公式アカウントです。デジタルマーケティング・エンジニアリング・働き方や、Shopify・OMO・EC活用についてつぶやきます。「フィードフォースのnote」もやってます。 https://t.co/NPFqWtvKUA | 1 |
Tweets per day

Top 3 Languages Used In Tweets

Top 10 Hashtags used
Hashtag | Count |
---|---|
#makeshopday | 1 |
Top 10 Hashtags Used In Tweets

Top 10 mentions
Mention | Count |
---|---|
@makeshopjp | 1 |
Top 10 mentions

Wordcloud of Tweets

Emojis
Average number of emojis used per tweet
200
Emojis used in tweets
Emoji | Count | Emoji Text |
---|---|---|
💫 | 1 | dizzy |
😊 | 1 | smiling_face_with_smiling_eyes |
Emojis groups
Emoji Group | Count |
---|---|
Smileys & Emotion | 2 |