Tweets Analysis - Keyword: @latha_venkatesh
Overview
Total number of tweets analysed
611
Earliest tweet was on
2023-02-11
Latest tweet was on
2023-02-22
Tweets covering
10 days
Average age of authors' accounts
8 years
Summarization
Banks have proposed a National Financial Information Registry (NFIR) as a one-stop-shop for borrower's information. India's trade deficit has fallen sharply to below $18 billion in January. Foreigners and NRIs can use UPI for payments in India. Factors for India's trade deficit fall such as oil, fertilisers, organic chemicals, pearl, precious stones, gold, silver and transport equipment are discussed. Banks can increase share pledges to maintain existing loan agreements. An analysis of India's inflation is presented, with food prices cited as the main culprit. Adani has had accusations of fraud and of fudged information described. The real estate market is likely to be impacted due to higher lending rates. Arun Jain discussed the future of banking as a thought leadership forum. Bancassurance has been discussed in the context of pressure to sell insurance products.
Topic Modeling
- Bank Loans and Loan Covenants
- India's Trade Deficits
- UPI Payments for NRIs and Foreigners
- India's Inflation and Monetary Policy
- Adani Group Frauds
- Bancassurance Pressure
Emotional Analysis
The emotions expressed in these tweets range from excitement to worry and concern. There is a sense of anticipation as the tweets discuss proposed initiatives such as the National Financial Information Registry and UPI payments for NRIs and foreigners. There is also a sense of surprise and optimism as the tweets discuss the sharp fall in India's trade deficit and inflation. Additionally, there is a sense of worry as the tweets discuss the web of frauds and higher share pledges associated with Adani Group companies. Finally, there is a sense of concern as the tweets discuss the pressure faced by bankers to sell insurance products.
Trend Analysis
- Trade Deficit
- UPI Payments
- Inflation
- Loans and Pledges
- Bancassurance
Types of Tweets
Number of Retweets
85
Percentage of total tweets
13%
Number of Original tweets
64
Percentage of total tweets
10%
Number of tweets that contain Mentions
611
Percentage of total tweets
100%
Number of tweets that were Replies
444
Percentage of total tweets
72%
Number of tweets that were Quotes
46
Percentage of total tweets
7%
Number of tweets that contain Hashtags
64
Percentage of total tweets
10%
Top 5 devices used to tweet
Source | Count |
---|---|
Twitter for Android | 281 |
Twitter Web App | 161 |
Twitter for iPhone | 135 |
Twitter Media Studio - LiveCut | 11 |
ProxyCentral CNBC-TV18 | 10 |
What devices were used to tweet
Top 10 accounts with highest followers count
Username | Name | Bio | Followers count |
---|---|---|---|
moneycontrolcom | Moneycontrol | Make Moneycontrol your one-stop #Budget2023 destination for real-time updates, sharp analyses & quick insights. https://t.co/sydMqhF9hD | 1,375,998 |
CNBCTV18News | CNBC-TV18 | Follow business news with India's Leading Business News Channel, CNBC-TV18. For more updates, follow @CNBCTV18Live.Telegram: https://t.co/OggDVLUjbE | 1,090,868 |
thebharatpur | Anirudh D. Bharatpur | University College London BSc & MSc graduate. An independent voice. @sachinpilot school of thought on most matters surrounding #Rajasthan. Mother first. JSRam. | 136,534 |
WealthEnrich | ᴡᴇᴀʟᴛʜ ᴇɴʀɪᴄʜ™ : Advait | I share insights on Wealth Creation & Compounding. I ✍️ on : #Money #Investing #Stocks #FinancialFreedom #Stockmarkets. (tweets are for educational purpose) | 96,508 |
chokhani_manish | ManishChokhani | Tweets are personal opinions, retweets are not an endorsement. | 54,932 |
RaisinaSeries | Krishan Partap Singh | Krishan Partap Singh, author of Raisina Series, a trilogy of political novels: Young Turks, Delhi Durbar, The War Ministry. Next up: Nehru--A Novel. | 38,475 |
sunchartist | Sunil Beri | Love - Macro & technical analysis, travel, foodie, current affairs. 👉https://t.co/XjOlmdePRt is where I write long form. | 33,619 |
AlgoBoffin | ViPiN 😉 | An Alien who is Data-Scientist, Algo-Architect, and Tech-Analyst with the Common-Sense of a Human, I'm Travel Buff, Foodie & Love meeting People | 30,406 |
Product_nation | ProductNation/iSPIRT | A mission-oriented, nonprofit, technology think-and-do tank, driving 30 years orbit shifts. Powered by no-greed and no-glory volunteering. | 17,510 |
MandarSawant184 | Mandar Manmohan Sawant | Indian Marathi Malvani Mumbaikar Borivalite Hindu Maratha. RTs or likes are not endorsements | 13,703 |
Top 10 accounts with highest friends count
Username | Name | Bio | Followers count |
---|---|---|---|
mrsinghCricUmp | Cry,The Beloved Country... 😢 | Retired Cricket Ump from Mumbai, India. ODIs. Author of books on cricket laws. Books, Dogs. | 5,006 |
maheshcafe | Mahesh Puttapaka | pursuing everything as hobby per school and work as advised also great work as read, spoken, written, and shared for/from news fraternity in India, or abroad | 5,001 |
rajeevkashikar | RK | Investment Banker, Corporate Strategist, Prof of Finance, Senator - Bombay Univ, Intl Affairs, Fashion, Football, Music, Indian classical, Rock, RD Burman | 4,994 |
ashishvijayver1 | Ashish | Like and retweets are not endorsements | 4,990 |
crahul04 | RAHUL CHAUHAN | Lawyer working in Mumbai. You don’t want to fight fascism because you are going to win, you fight fascism because it is fascist. | 4,560 |
harmony1960 | Harmony | GRATITUDE IS EVERYTHING.Love to think beyond religion,politics.Unbiased always.RT not endorsement.Hate fanatics,fascists and bigots always | 3,933 |
Product_nation | ProductNation/iSPIRT | A mission-oriented, nonprofit, technology think-and-do tank, driving 30 years orbit shifts. Powered by no-greed and no-glory volunteering. | 3,831 |
ScCardoz | Savio Cardoz | Live & Let Live | 3,681 |
desaipankaj1 | desai pankaj | secular Indian. stock market enthusiast. my ever admiration Indira ji Rajiv Gandhi. forever Congress and till eternity with Sonia ji | 3,560 |
JaiHindKB | Stock Funnel | Benjamin Graham Follower Mkt Research O&G,Renewables,ESG,EV BlockChain Stock Intrinsic CAGR Moat OPM PAFA Views personal study purpose not buy recommendations | 3,326 |
Most active users
Username | Bio | Number of tweets |
---|---|---|
CNBCTV18News | Follow business news with India's Leading Business News Channel, CNBC-TV18. For more updates, follow @CNBCTV18Live.Telegram: https://t.co/OggDVLUjbE | 22 |
rajeevkashikar | Investment Banker, Corporate Strategist, Prof of Finance, Senator - Bombay Univ, Intl Affairs, Fashion, Football, Music, Indian classical, Rock, RD Burman | 16 |
TrueEnlighten | Taking best of everything | 15 |
daga_sandip | - | 9 |
HudaZahira | Retweet are not endorsement | 8 |
mAnishhastir | Love for food is always recession proof 🍔🍟🍟🍕It doubles the fun - when food is unlimited and budget is limited. I eat, sleep and tweet. Hibernating 🚫 | 8 |
mithil_bhuva | Equity Research, Sports ❤️Labourers | 7 |
Shelly01866405 | Anti- bjp, anti - RSS…But not blind supporter of congress either… | 6 |
GokulaK32355117 | Indian Born Confused Desi !! | 6 |
gurbachan_econ | Visiting professor at Department of Economics, Ashoka University @AshokaUniv. Views my own. | 6 |
Tweets per day
Top 10 tweets with highest Retweet count
ID | Text | Retweet count |
---|---|---|
1626442534867111937 | Before giving loan to a company, banks would like all info about the borrower: total debt, repayment history, cash flow, taxes paid etc. budget has proposed a National Fincl Information Registry (NFIR) as one-stop-shop for all this data. More details on NFIR from @latha_venkatesh https://t.co/It6d6Vmtav | 22 |
1628228157018099712 | Bancassurance turns nightmare as bankers face pressure to sell insurance products - @moneycontrolcom @suchetadalal @aiboc_in @dugalira @latha_venkatesh @TamalBandyo @TOIBusiness @bsindia https://t.co/vakAst5Dzt | 16 |
1628073232686551042 | Adani's web of frauds is expanding with Modi's help, this time his group fudged info on him on @Wikipedia @vivekagnihotri @sardesairajdeep @rahulkanwal @navikakumar @Moneylifers @suhasinih @nramind @BDUTT @sagarikaghose @JhaSanjay @latha_venkatesh @BBCYaldaHakim @ghadifrancis https://t.co/fjF0zxFFRT | 12 |
1628071918925676544 | What a web of fraud PM Modi is presiding over! @vivekagnihotri @MrsGandhi @rishibagree @ndtv @IndiaToday @TimesNow @suchetadalal @latha_venkatesh @CNBC @WIONews @FT @WSJ @BBC @CNN @Bloomberg @Forbes @TIME @nytimes @AJEnglish @AlJazeeraWorld @washingtonpost @SkyNews @France24_en https://t.co/OcF4vpZtMG | 9 |
1625342193497153538 | #India January #Inflation at 6.52%, way above market expectations of 6.1%. Food – and within food, cereals- the biggest culprit. Likely more rate hikes from RBI; higher lending rates for NBFCs, rise in EMIs to hurt realty @latha_venkatesh with the fine print https://t.co/N5EJQvm68Z | 9 |
1627650525205499904 | This missing money/currency needs to be traced and whole matter should be investigated @RBI @paranjoygt @suchetadalal @latha_venkatesh @swaminomics @FT @WSJ @Moneylifers @CNBC @HindenburgRes @Forbes @FortuneMagazine @washingtonpost @nytimes @BDUTT @sagarikaghose @sardesairajdeep https://t.co/mHdsNWaeCe | 8 |
1624858671372185601 | Yes this was the moment concerned people should have seized to prevent adanis from swindle @latha_venkatesh @suchetadalal @girishkuber @sardesairajdeep @nramind @swaminomics @Moneylifers @CNBC @CNN @BBC @HindenburgRes @WSJ @FT @nytimes @tavleen_singh @vivekagnihotri @MrsGandhi https://t.co/pPJEk1gzfT | 6 |
1625857584682106881 | India's #trade deficit falls sharply to below $18 billion in January, the lowest in 12 months. #Imports at $50 billion is the lowest in 16 months & #exports are also down 6% on an annual basis. @latha_venkatesh decodes the numbers. https://t.co/Fd8P23mA7b | 6 |
1625139019238502400 | @rajeevkashikar @LICIndiaForever @vivekagnihotri @MrsGandhi @PriyaaReturnz @RanjitOne @harmony1960 @FekuBuster @fekoslovakia @simran_waliya @Shelly01866405 @suchetadalal @latha_venkatesh @HudaZahira @swaminomics @Moneylifers @sardesairajdeep Looks like AdaniG is being dropped like the hot potato he is. In any case, without the money he is useless for ModiG. Use and throw has been ModiG's legacy. | 5 |
1626939194319962112 | @PChidambaram_IN @latha_venkatesh George Soros made a fortune in his vocation. He is 92 years old and past his prime. What is Soros going to gain by criticising Modi and Erdogan ? Soros is chairing an organisation working for ‘Open Siciety’. In the last lap of his life, he shared his genuine and fair concern ! | 5 |
Top 10 tweets with highest Like count
ID | Text | Like count |
---|---|---|
1626442534867111937 | Before giving loan to a company, banks would like all info about the borrower: total debt, repayment history, cash flow, taxes paid etc. budget has proposed a National Fincl Information Registry (NFIR) as one-stop-shop for all this data. More details on NFIR from @latha_venkatesh https://t.co/It6d6Vmtav | 53 |
1625857584682106881 | India's #trade deficit falls sharply to below $18 billion in January, the lowest in 12 months. #Imports at $50 billion is the lowest in 16 months & #exports are also down 6% on an annual basis. @latha_venkatesh decodes the numbers. https://t.co/Fd8P23mA7b | 37 |
1625128765406826498 | How Can NRIs & Foreigners Use UPI For Payments While In India? Step-By-Step Guide Watch the video for more 📹 https://t.co/67lJr0ll1M #UPI #RBI #UPIPayment | @latha_venkatesh https://t.co/JeQ6aMhVY9 | 23 |
1625915034743476225 | @latha_venkatesh Latha- I think it's important to mention here that you are only talking about the merchandise trade deficit, not the overall trade deficit(Merchandise+ Service). Is there any specific reason why you analyzed this way? | 23 |
1625873035801800707 | @latha_venkatesh Fall due to Oil 2.8 Billions Fertilisers USD 350 M Organic chemicals 250M Pearl Precious stones 850 M Gold and Silver 600 M Transport Equipment 400 M Oil may and Fertiliser may continue others to watch | 23 |
1625025394155094016 | ‘Have not given any new loan against pledge of shares; Increase in pledge is for top up of collateral to maintain existing loan covenants’ @theofficialsbi MD Swaminathan J discusses higher share pledges in 3 #Adanigroup companies with @latha_venkatesh (1/2) https://t.co/NeYhe4nYX0 | 20 |
1626939194319962112 | @PChidambaram_IN @latha_venkatesh George Soros made a fortune in his vocation. He is 92 years old and past his prime. What is Soros going to gain by criticising Modi and Erdogan ? Soros is chairing an organisation working for ‘Open Siciety’. In the last lap of his life, he shared his genuine and fair concern ! | 20 |
1628073232686551042 | Adani's web of frauds is expanding with Modi's help, this time his group fudged info on him on @Wikipedia @vivekagnihotri @sardesairajdeep @rahulkanwal @navikakumar @Moneylifers @suhasinih @nramind @BDUTT @sagarikaghose @JhaSanjay @latha_venkatesh @BBCYaldaHakim @ghadifrancis https://t.co/fjF0zxFFRT | 20 |
1625810902686507011 | India's #tradedeficit falls sharply below $18 bn in January. #Imports at $50 bn is the lowest in 16 months. #Exports are also down 6% on an annual basis. @Latha_venkatesh decodes the numbers. https://t.co/cdZX6v8G0I | 19 |
1625144393081696261 | After slowing for 2 months, #inflation accelerates in January to 6.5% above the street expectations. #Food prices are the main culprit, cereal prices have risen 16% compared to last year. @latha_venkatesh with the details. https://t.co/P4GMNfbzuD | 19 |
Top 3 Languages Used In Tweets
Top 10 Hashtags used
Hashtag | Count |
---|---|
#rbi | 8 |
#inflation | 8 |
#adanigroup | 7 |
#banktechwave5 | 4 |
#standardcharteredbank | 4 |
#imports | 4 |
#exports | 4 |
#nifty | 4 |
#nifty50 | 4 |
#morningtrade | 4 |
Top 10 Hashtags Used In Tweets
Top 10 mentions
Mention | Count |
---|---|
@latha_venkatesh | 613 |
@cnbctv18live | 102 |
@shereenbhan | 87 |
@nimeshscnbc | 48 |
@cnbctv18news | 47 |
@suchetadalal | 44 |
@vivekagnihotri | 42 |
@moneylifers | 41 |
@mrsgandhi | 38 |
@sardesairajdeep | 36 |
Top 10 mentions
Wordcloud of Tweets
Emojis
Average number of emojis used per tweet
19
Emojis used in tweets
Emoji | Count | Emoji Text |
---|---|---|
👉 | 16 | backhand_index_pointing_right |
🙏 | 11 | folded_hands |
😂 | 11 | face_with_tears_of_joy |
🚈 | 10 | light_rail |
😓 | 8 | downcast_face_with_sweat |
🤣 | 6 | rolling_on_the_floor_laughing |
👍 | 4 | thumbs_up |
👇 | 4 | backhand_index_pointing_down |
😀 | 4 | grinning_face |
👌 | 3 | OK_hand |
Emojis groups
Emoji Group | Count |
---|---|
Smileys & Emotion | 54 |
People & Body | 46 |
Travel & Places | 11 |
Objects | 4 |
Symbols | 2 |