Business Standard Article RatingTejas Networks reports dismal Q2 outcome
- Bias Rating
- Reliability
45% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
52% Positive
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Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
3% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
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Contributing sentiments towards policy:
50% : " Also Read How to enjoy Diwali drinks without damaging your liver or your waistline Afghanistan cricket team pulls out of tri-series in PAK after fatal attack We will celebrate Diwali on Nov 14 with NDA's win in Bihar: Chirag Paswan 'Mauni Baba': Congress slams PM Modi after Trump repeats Russian oil claim Fire breaks out in Amritsar-Saharsa Garib Rath in Punjab, one injured Mr. Arnob Roy, COO of Tejas Networks said, "In Q2 FY26, a key highlight was the successful inauguration of the BSNL 4G network by the Hon'ble PM, across 97,000+ sites built with our 4G RAN product.48% : The companys total revenue from operations plunged 90.68% to Rs 261.82 crore in Q2 FY26, down from Rs 2,811.26 crore recorded in the corresponding quarter of the previous year. Pre-tax loss for the quarter stood at Rs 472.99 crore in Q2 FY26, compared to a profit before tax of Rs 410.51 crore in Q2 FY25.
41% : " Tejas Networks designs and manufactures wireline and wireless networking products, with a focus on technology, innovation, and R&D. TNL carrier-class products are used by telecom service providers, utilities, governments, and defense networks in 75+ countries.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.
